Top 11 Mistakes To Avoid While Developing Wearable App

 

These days, wearable technology becomes more and more popular, and so many companies are thinking of developing wearable apps. But it is important to remember that apps for wearable tech require unique design and functionality. Providing important data in a wrong way could be a costly blunder for app developers. So here we’ve curated some points that you should avoid while developing wearable apps. 

Know the basics of wearable apps development at- Wearable Apps Development- An Overview

Top 11 Mistakes To Avoid While Developing Wearable App-

1. Fail To Maintain Assumptions-

Most of the time while developing a wearable app, startups and big organizations failed to understand the issue they are trying to solve. And so companies can be crushed or burnt out. 

Before starting development of a wearable app, validate your assumptions. Consultation with medical and technological experts to help you do this appropriately. This helps you to develop a successful wearable app.

2. Forgetting Efficiency-

Wearable are valuable because they notify you about something timely, meaning you should not bother users for small things. Generally, wearable devices have limited power and no one will want to use your app if they can’t get through the day anymore. So keep it efficient.

3. Developing App On Today’s Devices And Top Sensors-

Investing too much in today’s top hardware is interesting but can cause problems in the future. Wearable technology is still searching strong use cases and supporting infrastructure. Means the wearables that today you see will most likely get outdated by the end of third-fourth year. The very notion of connected intelligence showcases that the future of wearable gadgets lies in them going beyond mere connecting, sensing, and reporting. The wearable device should process data independently and turn into an intelligent node which in itself can perform activities around embedded processing, connectivity and sensing. So if you’re thinking to put resources into wearable app development, you should ensure that it is made of an intelligent node and and can possibly turn into a full-fledged computing ecosystem. With this objective, if you limit your application idea on the device and sensor, it will prove to be a grave wearable application mistake.

4. Trying To Include Many Features-

In a race to deliver a unique product, usually entrepreneurs includes too many features and functionality sets in wearables. How this could be a mistake?

• If you add too much information or functionality set, users will either wind up not using them or abandoning app together.
• Battery life of wearable devices is not strong and long lasting as in smartphones. So, when you load wearable apps with too many features, you bring down the battery life even down. 

5. Keeping Launch Date Above In-Depth Testing –

Greatest mistake that you can do is hurry your wearable application developers into application launch with conducting proper tests on them. At the development stage each feature seems important and viable, it is only after you test in a pool of prospective users you get to know the reality of your application’s effectiveness. There are many things that could not be right with your wearable application. You should ensure seamless connectivity between hardware and mobile application, also ensure that the zero bloatwares which would wind up consuming battery life etc.

While testing your wearable app, you must keep in mind that the ecosystem is made of hardware, software and wearability. Until you assess all these three domains together, you won’t ever be able to fully emulate the complete user experience.

6. Investing More On Hardware-

We know that digital technology moves rapidly and hardware is no exception for this. Be certain not to build or put resources into your entire budget for hardware that could easily become out-of-date. So it is good to invest in software with the latest technologies.

7. Not Considering Security And Privacy-

Wearable devices are  rapidly gaining popularity and most of them are related to health-monitoring apps. It is necessary to think about security and privacy seriously because the user’s health data is more sensitive.  Be sure to remember to do security and privacy impact assessments during the development lifecycle.

8. Not Balancing Design Functionality-

Companies can avoid the mistake of creating functionality for use cases that early adopters will be excited about using, but that later user groups could find unfeasible or impractical for wearable. While developing costly features, a disciplined approach that balances short term “wow” factors with long-term customer viability will enable early adoption and staying power.

9. Need Of More User Input-

One of the main advantages of wearables is automating systems to avoid user physical interaction. So by avoiding spending time on getting user inputs could save a lot of time and resources too. The less time users need to spend interacting with the application the more convenience it offers to them—which is the main purpose of wearable technology.

10. Deployment Of Features Without Detail Client Feedback-

Deploying product features without customer feedback can be a costly mistake for you. Rapid iteration and learning are important for growth but user feedback is core to product usability. Always take sufficient time to know the problems of customers as a starting point. And incorporate the necessary changes in app before deployment.

11. Investing Before Market Study-

App idea for wearables, each feature many seem to be viable and great, but it is important to do a thorough market study before we build those features. A detailed study followed by a deep understanding of the competitive landscape will help to save a great deal of investment.

Final Words-

These are some of the common mistakes that most of the companies make while developing a wearable app. So a thorough research is necessary for successful wearable app development. If you are developing a wearable app and making the same mistake, be cautious before it spoils your app market. Do a thorough research and make priorities for necessary features. 

If you’re thinking of building a wearable app. We are here to help you through consultation and development. You can also hire android developers and ios developers of Solace team for an effective and secure wearable app development. Connect with Solace and get a free quote for secured wearable app development. We will be happy to help you.  

Key Points To Consider While Developing Wearable App

 

Prior to decade, it was difficult to build applications for smartphones by a mobile application development company. But this has taken a leap and now they are developing apps for wearable devices and smartphones. In the last few years wearable apps and devices have got more attention from users worldwide. Wearable devices have become one of the most essential parts of gadget lovers and millennials. And so many tech firms like Google, Apple, Samsung etc. have invested in developing world-class wearables that get accepted by users instantly. Small error in development can result in failure when you compete with tech firms. So before starting wearable apps development you must know some key consideration. Before going to the considerations, let’s analyze the reason for developing wearable apps.

Why Do You Want To Create A Wearable App?

Every year, wearable market is expanding and so in order to become successful in the wearable industry, it is necessary to find what type of app you want to develop? Is your app unique in the market? Why should people use your app? Answering these questions will help you to get better app idea before starting your wearable app development. Let us see the factors that you should consider while developing a wearable app.

Factors to Consider for Wearable App Development-

1. Selecting Apps For Device-

One of the important aspects of a wearable device or app is its size. Wearable app or device should be portable and of a size that can be worn. So as a developer you can develop several apps for smartphones with the same idea, but it is not possible for wearable devices. Because computing process for wearable devices is different, also they have some limitations, unlike mobile apps. Thus you can’t simply continue loading the wearable device with applications as it will hinder the functioning of the device and applications. So you need to choose carefully the applications that you want to incorporate in the wearable device. 

2. Improve User Experience-

All the wearable devices and wearable apps, intended to give the best User Experience (UX) to the end users. One most essential advantage of wearable devices here is that the device consists of some features of a smartphone that you can operate instantly in it. We know that wearable devices are new in market so there is still a wide scope for improvement and developers might face some issues while integrating new features. So you do more research, implement it and provide innovative solutions in wearable apps.

3. App Complexity-

Wearable apps cannot provide the same performance & usability same as that of standard apps present on smartphones. So as a developer, you should decide the important features that they should include in wearable apps and keep irrelevant features out that will make the app clumsy. So before starting development, make a thorough analysis of relevant features and irrelevant features, also know the priority of each feature. It is important to always keep some space for improvement as technology is changing rapidly.

4. Design Specifics-

Some specific types of APIs can be used only for wearable apps development. Sometimes when particular apps can’t run on devices built by the same manufacturer. Mobile app APIs cannot be used in wearable apps. The UI structure is an important aspect that you must consider. It depends on device specifications and offers better functionality through stable interaction with different sensors on the device.

5. Integrate With Smartphone-

Regardless of restrictions while developing a wearable app for OS like android and ios, it is important to integrate app with such platforms. Both iOS and Android offer limited tool resources when one is developing an application without integrating the wearable application with the smartphone your application or device will suffer. Mainly this is because the users of wearable device want the app of device to be integrated with their smartphones.

6. Avoid Over-Architecting-

As a developer you should incorporate a lean strategy that enables a swift creation of hypothesis and prototype. While creating a new application with attractive features, there is always the temptation to add over-architecture in the way of user experience. When this occurs, the developers should search for the capabilities that the new technology comes with and stress test the particular feature during the smartwatch application development process.

7. Security-

All kinds of wearables are extremely personal devices. They carry lots of sensitive data related to your location, health, preferences etc. Prime goal of a developer is to secure the data, both when it is being captured in the wearables and when it is shared with a connected device. Now, to ensure the security of data, you can use advanced technologies, like Blockchain, AI and solid encryption modules. 

8. Testing The Wearables And App-

Quality assurance of wearable app is different from testing of a smartphone app. There are various things that testers of wearable apps have to measure on an intricate level. You must focus on the below features-

• Usability
• Functionality
• Installation
• Security
• Performance
• Connectivity
• IOP
• Localization/GPS
• Memory Leak

Wearable Apps Development- An Overview

With the advancement in technology, wearable devices are not only restricted to wristwatches. The Internet Of Things has brought up revolutionary modern-day wearable devices like smartphones. Wearable technology connects devices to others through an internet connection. Most of the devices are designed to work with smartphones and devices that run on wearable technology needs a mobile app to manage data. Let us see details of wearable apps.

What Is Wearable Apps?

Wearable Technology is a category of technology devices that are worn by a user either directly as an accessory or as a part of other materials like clothing. These gadgets further connect to the internet directly or through a smartphone to perform a number of functions by exchanging data between the network and device.

There are specific apps that are designed to work with wearable devices. Accuweather, Parking, Spotify, Bring are some popular wearable apps. Apple and google are two top developers of wear apps. These apps are more complicated than standard mobile apps. 

How Wearable Apps Are Differ From Smartphone Apps?

1. Functionality- 

Hardware of wearable technology is small and less powerful so there are some limitations for functionalities of a single wearable app on a device. 

2. User Interaction-

Generally, wearable apps have little to almost no user interactions. The work automatically collects data and displays output. Very few wearable apps need input from a user. Whereas, mobile apps are mostly developed for user interactions.

3. Device Specificity-

Wearable apps use APIs specific to the device and so the same cannot be used on other devices or platforms. Until now, same wearable apps can’t be used on other devices or even the same device of other makers. However, mobile apps have the flexibility of being able to run on different makes and models of mobile phones and even on tablets.

But the good thing about the development of wearable apps is, it is similar to the development of smartphone apps. Only the expert development company that has experience of developing wearable apps can develop app for particular wearable gadget.

Reasons For Developing Wearable Apps-

Wearable apps offer a different set of features and experience to users. The way they work is also different and they are not as robust as mobile apps. Even their strategy and approach for development is also different from other applications.

1. Portability-

Wearables are portable devices that we can carry everywhere and so the app success completely relies on the user experience. It is a customer-based app and you must not develop it like Smartphone app. For instance, “Smart shoe” app which is a customer-based app in which shoes are connected with app that helps to direct and notify the customer with vibration. 

When the customer walks into the unknown areas without being stuck to the smartphone, the smart shopping wearable app help them in the right way through mild vibration. Also this app can help to discover the daily walking distance, running distance in an app. It also displays the burned calaries of each day, and describe about your fitness. 

Wearable apps are more flexible, trending and convenient to use. Wearable apps provide fitness tracking, security profiling and network monitoring.

2. Size Is The Key Factor-

For wearable apps, size is an important factor. In case of wearable apps you cannot develop app with certain templates, a creative and unique feature is needed for the development of wearable app. This is because the loading of huge apps in the smaller device is complicated and may perform poorly. The app developer might have a worry in the wearable apps development as the Smartwatches are portable in size however need many unique and innovative features for the Play store installation.

3. Improve User Experience-

Providing best user experience to the end user is one of the most important aspect to consider in wearable app development. It is important for both mobile apps and wearable apps but the program is different. One of the main advantages of wearable apps over mobile apps is that there is no need to carry mobile while using wearable apps. Wearable apps still need more improvement as there are challenges while working on wearable apps and its functions.

Challenges In Wearable Apps Development-

• User Interface- Only looks for wearable apps is not important, it should work smoothly on the mobile and device too. Generally wearable devices have smaller screens than tablets, mobile etc so it is a challenging task to design app that is attractive too.
• Battery Issues- If an app is consuming more battery, it won’t stand in the modern market. Finding the perfect balance between great functionality and battery saving features is a challenge to developers.
• Security and privacy- Each wearable technology needs data transfer from one device to another. Whereas there is a security issue of data being stolen. This is a big issue people that prevents them from using wearable gadgets.
• Tethered devices- A wearable application deals with two devices at the same time. And it is the reason why an application might fail. It is very challenging to design an application that isn’t affected by devices much. On account of gadgets that run on Bluetooth, it is important to keep a decent range.
• Functionality- A great app needs not only good user interface but also a customizations based on the user requirements. Developers should focus on ease of use and customer requirements.
• Multi-platform support- The best wearable applications are those that are viable with different platforms, particularly Android and iOS. So the app must be custom-made to run efficiently on all devices. This needs a complete focus on API and various protocols.
• Regular Updates- According to the changing market circumstances, there is always a need to update the app. To stay relevant and on the top of market wearable app development needs to update with new features and fix bugs.

Benefits Of Wearable Apps-

• Health & Fitness-  Fitness wearable apps keep track of our fitness activities. Fitness bands connects with dedicated fitness apps that stores body data like heart rate, pulse rate, burnt calaries, pulse rate etc.  
• Fashion- Many popular fashion brands are developing wearable gadgets and clothing accessories. In the upcoming days, unique fabric clothes will be launched that will improve the blood flow as required. 
• Games- Gaming industry uses AI, VR, IoT and wearable technology to develop gaming gadgets. Various apps are developed to work with gadgets like eye-wears to produce real-life graphics. Gameband+Minecrcaft is a wrist band for gamers.
• Entertainment- Entertainment app has made the application compatible with wearable devices. Various apps allows you to play different media like videos, music and pictures on your watch or other devices like Spotify.

Testing Of Wearable App-

Testing of wearable app is different from mobile apps and software applications. Here are some of the testing parameters for wearable apps- 

• Installation testing
• Functionality testing
• Performance testing
• Usability testing
• Connectivity testing
• Security testing
• Localization testing
• Memory Leak testing
• IOP testing

Top 7 Golang Machine Learning Libraries To Use In 2021

 Go is a popular open-source programming language created by google researchers. It has many attractive features like garbage collector, cross-platform, efficient concurrency and so on. Machine learning helped everyone( including non-CS people too) over the past few years. We know that Go provides faster speeds at accessing requests over the internet, and also it can be used for something practical- like Machine learning. Here we’ve listed out some top machine learning libraries in Golang. Let’s see which are those.

You can know the reasons to use golang at- Why Golang Is Better Than Other Languages?

Golang Machine Learning Libraries-

1. Gorgonia-

This library helps in facilitating machine learning completely in Go language. Main goal of this library is to be a highly performant machine learning and graph computation-based library that can scale across multiple machines. Also, it provides a platform for the exploration of non-standard deep learning and neural network related research. It can perform processes like neo-Hebbian learning, corner-cutting calculations, etc. Some of its features are-

• Gorgonia can perform automatic differentiation, symbolic differentiation, gradient descent optimization and numerical stabilisation.
• Library provides various convenience functions to help create neural networks.
• This library supports CUDA and GPGPU computation.

2. Golearn-

It is a popular library in Go language and known as the ‘batteries included’ machine learning library for Go. Golearn aims to contribute simplicity paired with customizability. It has great features like-

• Data are loaded in as Instances. You can then perform matrix like operations on them, and pass them to estimators.
• This library is like popular Scikit-learn library in Python because it implements the Scikit-learn interface of Fit/Predict.
• Golearn includes helper functions for data such as train splitting, test splitting and cross-validation.

3. Goml-

It is a machine learning library written in Golang that allows developers to include machine learning into their apps. Goml includes many models that lets you to learn in an online, reactive manner by data transfer to streams held on channels. Those models include traditional, batch learning interfaces etc. Library includes extensive documentation, comprehensive tests, and expressive, clean, modular source code. Community contribution is heavily encouraged. All code of Goml is well documented and the source is readable if you’d like to make sense of it all.

4. Evo-

Know more at- https://solaceinfotech.com/blog/top-7-golang-machine-learning-libraries-to-use-in-2021/

Key Points That You Should Know About Offline Apps

 

These days, most of the users expect apps to work even when they’re offline. Else, bad network connection translates into poor user experience. Near about 21% users uninstalls an app just after one use. In app messaging, Push notifications and offline mode helps to retain users. Offline mode is necessary for delivery apps having GPS navigation, banking apps and apps for urgent medical assistance. Users like offline apps because it can work constantly without delays, can load immediately, and consume less battery. 

Types Of Offline Apps-

Based on the nature and function of app, offline apps are divided into 3 categories-

• One user can edit other user’s data- making edits to an offline Google doc type app.
• Data can be edited and synched offline, for example, note taking app.
• Data stored offline- without any editing functionality, eg., On-demand Uber – X app

Selecting An Architecture To Create Offline App-

While selecting the architecture for your offline, consider the following points- 

• Why is it important to know how and where to cache the data?
• What is the reliability of caching?
• How to handle concurrency?
• Which safeguards are in place to handle data conflicts?
• How is this architecture going to handle connectivity changes?

Types Of Offline- First App Architecture-

The data storage, sync and access may change according to the device, server and architecture. Some of the best development approaches are as follows-

• Caching- Data caching on local browser/server is simplest approach to help users with data reading in offline mode. This offers access to data on a device, renders the UI, providing a predictable user experience within a short time.
• Manual Replication- With this users can edit the data in offline mode by marking changes in objects. All changed objects are sent by push and pull operation once the network connectivity recovers.
• Real Time Data Sync By Platform– In this case data synchronization is automatic. Changes are send between device and server in minor binary format. Only some particular operations with data are synchronized, capturing the information intended by user, permitting the system to automatically resolve any conflicts, This focuses on performance because there is no manual intervention.

Selection Of The App Types Based on Offline Mobile App Architecture-

One should look for quick data retrieval upon multiple requests, complete offline capabilities and no reliance on the UI while selecting the architecture of offline-first application. On-demand type offline architecture are good for e-commerce apps, news apps, real time apps, map apps etc. Offline architectures are suitable for notes taking apps, weather apps, email apps, finance type apps, messaging apps.

How To Decide Offline Features For Your App?

Each mobile app is designed and developed based on the budget, business requirements, scope of application, availability of technologies and skills of developers on board. By considering all these factors, mobile apps are designed and developed. A way to handle errors might be different. Users can perform some of the actions while the app si in offline mode and then able to synchronize it as the app regains network connectivity. With some mobile apps, there are client-side and server side storage and app can manage data flow between server and client. Points that can help while developing offline mobile app- 

• Decide business needs, assess workflow, and translate it into app features.
• Give these features a priority as once they become significant for your business, they become urgent.
• Figure out what you need to achieve through your application and share this data with your developers. Help them to understand business objects and recommend precise technologies for custom solutions.

What To Consider While Selecting Technologies For Offline Mode?

Selection of technology will have a big impact on app’s offline mode performance.  So, consider the following points while selecting technology-

1.  Data synch-

Frequent reconnecting drains a mobile’s battery. But if app doesn’t synch frequently, users might miss necessary updates. So to balance it, work with development team. You have to check how frequently users can use high-speed internet. If your users use app for work, then decide which slots are good for downloading data in their work schedules. If data connections is good, those slots can be shorter.

2. Data Synchronization-

You should prioritize data as per business requirements. Some of the data needs should be updated once a year, while others need to be updated a few time a day. Decide various synchronization cycles for various data according to the business needs. Data packages that are smaller need high-frequency updates. If your app needs continuous data synchronization, you can sync data at a specific time. 

3. Sensitive Data Management-

Users sensitive data cannot be erased for security reasons. Downloaded data such as logos and blog posts are stored in a cache folder on the user device, so it doesn’t need to be downloaded each time the user uses that content. Cached info can be viewed by using back button of browser or checking the browser’s cache and this can show sensitive data such as usernames, credit card details etc. So, you must ensure that the sensitive data is not cached. 

4. Managing Shared Data Changes-

Sometimes, users are not online, data changes cannot be accessible to others. In this way, numerous clients may work on similar information without checking how others have changed it. If you can’t ignore this case, manage and decide rules to handle those exceptions.

5. Synch Ways-

To select the appropriate technologies for your offline mode, check whether data transfer should be synchronous or asynchronous, regardless of whether data will be synced manually or automatically, whether the application will ask the server actively for updates or the server will send new data itself to the application.

Implementing Offline Mode For Web And Mobile-

There are some differences while applying offline mode for mobile and web. Let us see how to store and synchronize data for mobile apps and web apps. Web applications store data in browser whereas mobile apps store them locally. ServiceWorkers and IndexedDB are tools to store data in the browser. 

1. IndexedDB-

This tool offers a better API than local storage API to store data in a browser. You can use IndexedDB or similar alternative for offline data storage. App shouldn’t make any HTTP calls so as not to fail in offline cases. In low-storage cases, browsers may clear IndexedDB. One can use persistent storage API to solve this problem.

2. ServiceWorkers-

ServiceWorkers operate as client-side proxies and can intercept client requests. It has a well-determined lifecycle. Google’s libraries sw-precache and sw-toolbox are used for caching static and dynamic content. 

Data Sync For Web And Mobile Apps-

Offline Sync For A Mobile App-

By the use of offline app, users can take actions offline and then synchronize changes with the central repository. For this, app should manage data flow between server and client. Most of the time, offline mode is used when users can edit data on the server side and on the mobile side. Despite the fact that it may be fascinating to create offline applications supporting two-way sync, it’s the most complicated method. If supports two-way sync, synchronization logic has to check that data is updated on the mobile and server side too. Data storage methods to make an app work offline differ for iOS and android.

Android-

SharedPreferences APIs of android platform can be used to save a small amount of primitive data in key-value pairs. SharedPreferences object is a reference to a file with key-value pairs. While using this, you have a key and value, the value can be boolean, float, int, long or string. Android stores SharedPreferences files as XML files in a private directory. One of the Method of receiving SharedPreferences object is used if an app contains a single preferences file and the other is used if an app contains more than one preferences file or if you want to give a custom name for the  SharedPreferences instance.

iOS- 

While implementing offline mode for ios app, you can make use of a NSUserDefaults class to save and update users’ preferences. This class delivers a programmable interface to customize its behavior based on the user’s preferences. You can allow users to save profile pictures offline or add a function which automatically saves documents. App records preferences in the user defaults system, and so helps you to avoid opening the user defaults database when you want a default value. When app is closed by user, they can still use the saved information the next time they enter the app.

Offline Sync For A Web App-

While storing offline data in a browser, you need to upload it to the server when the network is available. To ensure data syncs properly-

• Analyze the smallest amount of data to store locally.
• Select as less data as possible to transfer from server to device
• Configure conflict resolution
• Determine and prioritize data sets for syncing
• Balance synch frequency and battery drain
• Explain retry mechanism
• Send a sync status notification to users

7 Things To Consider While Choosing Best Functional Testing Tool

 

Choosing the right functional testing tool is important for any testing team as it impacts the overall software testing process. If your selection goes wrong it could be a massive impact on the testing process. When you try to search “functional testing tools”, there will be a long list of tools and might get confused about choosing the best one. Some of them might have great capabilities but they also have limitations that could impact daily flow. So here we came with the considerations that will help you to choose the best functional tool. Before that, let’s see what functional testing is.

What Is Functional Testing?

It is a type of software testing that validates the software system against functional requirements/specifications. It’s tests are conducted on each feature of the software to determine its behavior by using input combinations simulating normal operating conditions and deliberate errors and anomalies. Functional testing is a type of black-box testing where it checks user interface, APIs, database, security, client/server communication and other functionality of app. 

Know the difference between Unit Testing and Functional Testing at- Unit Testing Vs Functional Testing – Know The Comparison

Considerations To Choose Best Functional Testing Tool-

1. Platform Support And Tagging-

If the test tool is unable to run on all the platforms that the team needs support for(mobile web, iOS native, web, Android native, API, unit and so on) then the team has to cover that risk in a different way. Many platforms have similar use cases: search, login, display product page, tag, checkout and so on. One basic practice for end to end tools is to create a “page object,” with the basic features expressed as functions. Automated checks call those functions. At the runtime page objects are created to make it possible to reuse a path-to-purchase check on each device. Simply, you can rerun the same test against different page objects. Some kind of features exist only on the full-sized web version of product.

Tagging is a way to track which tests run in which browsers. With the help of tagging, it is possible to instruct the tool to “run all tests for the edge browser full size”, or for this, just front-end tests, only back-end tests, only tests that hit a certain API, only profile tests and so on. If tool has various levels of platform support and teams support various platforms, then tool will have to keep track and run the subset that is supported. While speed up the delivery process Tagging tests by feature and return all tests for feature quickly, at the desktop right before a check-in can be a powerful way to reduce risk. 

2. Programming Language And Development Environment-

In a case where a tool has a programming language, there are two approaches: write in the same language as production programmers or use powerful high-level language like Ruby.  If the test is written in the same language as production code and runs during the continuous integration (CI), it might fail the commit and get programmers to fix the bug.

The tool can run as a plug-in inside the developer’s integrated development environment (IDE), by minimizing the switching amount. If tool uses a different programming language and runs outside of the IDE, programmers will learn new tool or do the work to support the tool when it reports “failure”.

3. CI And Version Control-

Many teams that want to avoid automation delay put the tool run into the CI process. Means, CI system checks the code, performs a build, runs unit tests and creates an actual server and a client, possibly putting the software on a mobile device. Then CI system starts end to end tests running with the functional tool. Tests that runs under CI creates a new requirement. When new branches are created, you have to create a new branch of tests. In this way, many CI pipelines can run at the same time. This means the tool have to run from the command line and generate output that CI system can interpret. At least it should capture the output and transform it into something that CI system can read.

To use the CI system’s dashboards and pie charts, data needs to get out of the tool and into the CI system. When the device runs under CI, the power is in getting it to report failures to the offending programmer. This occurs by tracking and then debug naad “green” the test or fix the code. This can be easy to do if the programmers know and support the language if tests are stored as plain text. When stored in version control, it is hard to tell the differences among files in binary format.

4. Insightful Report-

Test reports should help diagnose and analyze defects and root causes, test coverage, test effectiveness and other analysis. So, choose the functional testing tool whose charts and dashboards have a customizable degree of detail concerning the intended audience. These reports are necessary for managers to make informed decisions about the quality of their products.

5. Bug Area-

Recognize the areas where rigorous is required and choose the tool that can accommodate all. By using defect tracker, you can get idea. Such research can find various bugs in business logic, database layer or GUI. Depending on that select a tool which facilitates for all issues but focuses on main areas where bugs are mostly spotted.

Know more at- https://solaceinfotech.com/blog/7-things-to-consider-while-choosing-best-functional-testing-tool/

10 Best Functional Testing Tools For 2021

 

Software development practices change over the long run, so do the tools and technologies. Main aim of these changes is to improve productivity, quality, customer satisfaction, tackle ever-shorter delivery time and deploy successful products and services. Software testing plays an integral role to achieve these objectives. Each type of testing tests the product in a different way and  functional testing is one of them and it should be done with the right tools. Before digging to the functional testing tools, let us see what is Functional testing.  

What Is Functional Testing?

This is a type of testing that validates the software system against functional requirements/ specifications. Main purpose of functional tests is to test each function of software by providing appropriate input, verifying the output against functional requirements. It involves black box testing and checks user interface, APIs, Database, Security, Client/Server communication and other functionality of application under test. Functional testing can be done either manually or using automation.

Test result is just an observation of output compared with a requirement. Generally it can be expressed as a simple “pass” or “fail”. Functional testing tools may be triggered manually, but for quality assurance at speed, advanced functional testing tools provide automated testing.

Know the comparison of unit testing and functional testing at- Unit Testing Vs Functional Testing – Know The Comparison.

Types Of Functional Testing-

• Unit testing of small unit code or single task within a software code. Generally Unit tests are automated.
• Smoke testing or Sanity testing uncovers the failures that might  make more detailed or advanced process testing impossible.
• System testing works in concert within an integrated system to ensure together they behave in compliance with requirements. 
• Interface testing tests a product’s graphical user interface to ensure it meets specifications or that navigation works as designed.
• Regression testing uncovers new bugs after patches or configuration changes have been made to a system.

Top 10 Functional Testing Tools-

1. UFT-

UFT(Unified Functional Testing) is a popular commercial testing tool for functional testing which provides a feature set for API, web services, and GUI testing of desktop, mobile and web applications across platforms. This tool has advanced image based object recognition feature, reusable test components and automated documentation. It makes use of a Visual Basic Scripting Edition to register testing process and object control. UTF is integrated with Mercury Business Process Testing and Mercury Quality Center. This tool supports CI through integration with CI tools like Jenkins. UFT  got the highest views and followers on IT Central Station in the functional testing tools category.

2. Selenium-

It is a popular open-source automated testing suite for web apps. Selenium includes several components with which each performing a specific role in aiding the test automation. It supports various system environments and browsers. Also it provides a test domain-specific language to write tests in programming languages like PHP, Java, Perl, Groovy, Python, Ruby, Scala, C#. Testers have flexibility with Selenium and they can write complex and advanced test scripts to meet different level of complexity, it needs advanced programming skills and effort to build automation frameworks and libraries for particular testing needs.

3. Tricentis Tosca Testsuite-

It is an effective end to end functional testing tool with Latest version v9.0. It makes use of a modern model-based approach that is tested in Agiles method development. This tool creates test cases that are independent of software technologies and provides it in a business language that anyone can easily understand. So the test cases are created within less time and can be used as manual tests or automated test scripts. It has an effective approach in maintaining tests with recurring changes throughout the sprint cycles of Agile methods. It covers maximum business risks and can be easily maintained by non-technical users. Test module can be used for different technologies and platforms.

4. TestComplete-

This is a good testing tool for web, mobile and desktop testing. It supports scripting languages like VBScript, Python, Javascript, and C++Script. Testers can perform data-driven and keyword-driven testing with TestComplete. TestComplete offers easy-to-use record and playback features. GUI object recognition capability can automatically detect and update UI objects. This reduces the effort to maintain test scripts when the AUT is changed.

5. Telerik Test Studio-

It is a simple and user friendly testing tool that provides functional, exploratory, performance and load testing solutions. This tool comes with a Visual Studio plug-in, so one must know the visual script so as to bring the best out of this tool. It supports various browsers and test maintenance cost very less. All the locators are inbuilt and centralized, and its test scripts can be used again.

6. Ranorex-

It is a commercial Windows GUI test automation tool and supports functional UI testing on desktop, web and mobile apps. Ranorex is easy to use for beginners with codeless click and go interface and helpful wizard. It is powerful for automation experts with full IDE. This tool supports reliable object identification for web elements with dynamics IDs too. It has shareable object repository and reusable code modules for efficient test creation and less maintenance. It can integrate with tools like Jira, Jenkins, TestRail, Git, travis CI and so on.

Know more at- https://solaceinfotech.com/blog/10-best-functional-testing-tools-for-2021/

Unit Testing Vs Functional Testing – Know The Comparison

 

Main aim of any application or software testing is to build a high quality product. Functional testing and unit testing are the foundation of the testing process. Both software testing types have their own importance in software development. Functional testing is performed by the tester during system testing whereas unit testing is performed by the developer during the development cycle. Utility of functional testing is understood by users, developers and QA alike. Here we will understand the various aspects of unit testing vs functional testing. Before digging to the comparison, let us see what is unit testing and what is functional testing.

What Is Unit Testing?

Unit testing is a popular testing that helps to eliminate the risk of having bugs in codes. And so it is adopted by many organizations. In this type of testing all individual units or components are tested. Main purpose is to validate each unit of software code and check whether they are performing as expected or not. It isolates the code section, verifies correctness of code, test each function and procedure, finds early bugs and fixes in the development cycle to save costs, helps developers to understand the code base and enable them to make changes quickly, and helps for code reuse.

What Is Functional Testing?

This software testing process validates software systems against functional requirements. Main goal of functional testing is to test functionality of software application by providing input, output verification according to the functional requirements. It finds defects that programmer may have ignored while developing software, provides information about the level of quality, prevents defects, and ensures that the result meets the business and user’s requirements.

You can also know the difference between Alpha, Beta and Gamma Testing at- Alpha, Beta and Gamma Testing- What is the difference?

Unit Testing Vs Functional Testing-

1. Purpose-

Unit Testing-

Individual units of code are tested separately with unit testing. Main purpose of unit testing is to separate the smallest testable parts of API and verify if it functions properly in isolation. This testing verifies the different behavioral aspects of system under testing, whereas mainly it verifies whether the system under testing produces the correct results or not. From the developer’s point of view, the goal of unit testing is to create strong codebase with less cost. Also the important purpose of unit testing is to provide documentation for high-level testing like integration testing and functional testing.

Functional Testing-

Main goal of functional testing is to check the functionalities of a system. In this type of testing, a tester is not worried about the core code, rather they have to verify the output based on the user requirements with expected output. Functional tests check the whole software, its software, and networking infrastructure – from the front end to the back end database systems. It is form of integration testing which ensures that all components are working together as needed. Functional testing don’t enlighten you about the errors or its location. It just notifies you that something is broken, it can be the browser, test or race condition. As it follows end-to-end testing, there is no way to tell.

2. When To Perform?

Unit Testing-

Unit tests are a solid foundation on which the rest of the testing process should be built. It is good to write tests from the start of code writing. A popular software development practice Test Driven Development advocates writing tests before coding. You can refactor your code and unit tests will tell you if you broke anything. 

Functional Testing-

It starts when two modules interact with each other and then testers perform functional testing on the feature. You can use unit test to test an individual function and integration test to verify how two parts performing nicely. Functional test are on a complete another level, however you can have hundreds of unit tests, you usually want to have just a small amount of functional tests.

3. Software Quality Improvement-

Unit Testing-

Through writing a test to drive your new code, you essentially capture that work. For instance, if in six months the programmer breaks the code, you can use that test to fix the code. Defects in objects are identified very quickly, so it needs less re-work and re-test dependency on other code. Generally complex apps has many variables to clearly test practically. Breaking it into manageable unit tests is less expensive to develop and maintain. It generates decent bug report with the answer of questions like- What is the expected behavior?, What was the actual result?, What is expected result, which component is under test?

Functional Testing-

It verifies whether the app or system works as expected or not.  Generally have detailed tests for “happy paths”- that ensures the critical app capabilities like signups, purchase workflows, logins etc. and all the critical user workflows all behave as expected. There are lots of functional testing types and each has its own set of advantages. For instance, Smoke testing checks the critical feature of build and saves time and reduce regressions, integration testing verifies that all the integration are working together, system testing validates the whole software/application with regards to real user scenarios. End to End tests increase test coverage and reduces the risk with integrating new code into an app.

4. Purpose Of Text Coverage –

Unit Testing-

Test coverage is important in software testing and it serves different purpose for unit testing and functional testing. Test coverage tool tracks which code is executed or which is not. In case of unit testing, we can call it a code coverage. There’s a belief that high code coverage improves the code quality. If unit tests are poorly written with high test coverage, then it can’t assure the better code quality. 

Functional Testing-

For this testing, test converge can establish traceability between  test cases and requirements. Functional test coverage must indicate what features are done and what are still in progress. Such information is more accessible to product owners than exercised code lines. 

5. Complexity To Write Test Cases-

In TDD, you have to write unit tests prior to production code writing. Here you have to think about design of code upfront according to the requirements. Sometimes at starting, design is not clear and expands as you go further – at such cases you need to redo your test and this is very time consuming. For instance, frequently changing algorithms takes more time. It will be better to postponed unit cases until you get clear design idea. In some of the cases, you have to deal with other dependencies and integrations like database, user interface etc. Here TDD becomes hard and it includes many abstractions like mock objects, programming to an interface, MVC/MVP patterns etc. It needs detailed knowledge and developers have to write many unit tests, some of the times, more than actual code.

Regardless of dependencies, unit testing becomes very complex when you test trivial code. With unit testing, we can mock out all dependencies, however for functional testing it is different. A good example is-  testing a simple screen that loads network data – it will fail every time you run it while disconnected. Such scenarios make functional testing complex.

Most of the time, developers divide their time of developing new features and fixing defects. Some part of release is spent on functionality testing that was already released and used. While the main effort of designing and writing test plans for this functionality is investing in past releases, each new feature developed requires a test plan and a maintenance effort for tests that are existing. Main objective of QA managers is to reduce efforts. Teams that succeed to create clear and reusable tests simplify the maintenance and can optimize the test registration time.

Comparison Table Of Unit Testing Vs Functional Testing-

Unit Testing	Functional Testing
1. It is performed by developer while coding	1. It is performed by Functional tester in lined with user/business document
2. Testing happens within system structure	2. No System Structure Assumptions.
3. This testing happens while coding, one code at a time.	3. This testing happens after the development is complete.
4. White Box testing method	4. Black box testing method
5. Third-party tool or created within the development group.	5. Test conditions created from business requirements
6. Helps in Debugging-process simplification by isolation the code that’s bad.	6. Helps to eliminate functional errors