10 Best Headless Content Management System (CMS) In 2021

 

These days, content is most popular thing on the internet. Creation and distribution of great content can generate iconic digital experience, but a poor one can be a huge obstacle to perform an effective digital journey for your customers. So, it is important to manage and deliver content of best quality to lead the market race. A new type of Content Management System(CMS) is on the rise to serve the content, headless content management system. Traditional CMS tool were not able to address the user needs in various ways like, delivering the content to an existing channel, providing the required flexibility, integrating new delivery formats etc. Publishing high content quality was made easier with the advent of headless content management system. Let us see the details of what is headless CMS?

What Is Headless Content Management System?

Term “Headless” refers to the lack of a frontend. A Headless CMS contains an API and backend system where the content is stored and delivered. Publishing content to a web service through an API that is capable of delivering to any device(smartphone, smartwatch, laptop), fulfills the lack of frontend. Headless CMS uses API calls to execute content into a webpage. This is most preferable option than building relationships between content (frontend) and backend similar to other CMS do like WordPress. Also, there is no need for any hosts. So, maintaining headless CMS is easy than non-headless CMS. It results in the improvement of workflow and collaboration, with digital asset management and access controls ebing just some of the features of headless CMS. Let us see features of headless CMS.

Features Of Headless Content Management System –

• Multi-language
• Advanced image management
• Digital asset management
• Improving workflow and collaboration
• Access controls
• Organizing content repositories
• Modeling, creating and authorizing content

Why Headless CMS?

Here are some of the reasons of choosing headless CMS:

• Scalable- Content publishing environment is not accessible from the database so using this will prevent malware attacks.
• Compatible- You can publish the content to any smart device while the backend can be controlled from one device
• Scalable- Front end and backend are separated so there is no separate time need for maintenance. It allows you to customize your website anytime without compromising the performance.
• Control- It doesn’t have any rules and gives the developer complete control. Developer can integrate with any codebase and use any preferred language of their choice.
• Flexibility- Transitional CMS is limited. Use of headless CMS will allow you to design your front end. Also, it comes with a well-defined API, so allocating more time to create content instead of managing it. 

Let us see best headless CMS of 2021.

Best Headless CMS Of 2021-

1. Sanity.io-

It is a content platform and an industry-driving headless CMS which is used by popular companies like National Geographic, Nike, Sonos, Cloudflare, Netlify, Eurostar and Invision. It has customization at its center and gives a way of constant scaling on secure and consistent cloud foundation. Flexibility and adaptability are the main structures of Sanity. Programmers can redo the editing environment by using Javascript and React and effectively coordinate the backend with APIs and rich data displaying capabilities. It accompanies constant cooperation and support scaling with your organization’s requirements on a secure and agreeable cloud framework. Sanity.io includes WYSIWYG rich content manager through which you can install editable information in running text and defer markup to deliver time. Also, it accompanies a Sweet Query API which allows you to reserve multiple questions on a single request.

2. Prismic-

Prismic was launched in 2013, and it is a SaaS headless CMS trusted by many organizations like Netflix, Google and Deliveroo. This tool allows you to select the technology, language, framework and hence can easily manage and deliver the content. It also supports native integrations with eCommerce platforms like Shopify and Magento. As you can use various frameworks with Prsmic, task arrangement with this tool is important to progress. Every structure has its own properties and favorable circumstances, SEO, simplicity of arrangement, quick delivering, progressive improvement etc.

3. Magnolia-

It is one of the oldest and best headless CMS. It is older than Prismic and was founded in 1997. Magnolia has great features to offer such as management, creation and delivering content across many known channels. Personalization and in-context editing are the strongest points of Magnolia. It is a professional headless CMS which is known to be a smart investment for serious business because it allows authors and editors to streamline their work without the need of developers to change the content. Magnolia allows developers to blend with front end platforms like Vue, Angular or React for more profound user experience.   

4. Contentful-

Germany-based contentful founded in 2013 and offers an API-driven headless CMS.  It’s RESTful API gives developers complete programmatic control of content, digital assets and translations. This platform also takes advantage of caching techniques and external CDN integrations to enable the delivery of API payloads in the sub-100ms range. It can display JSON snippets,a rich-text editor, and content modelling features that allows marketers to arrange individual fields and content modules like text, images and calendars.

5. Mura-

Mura is a decoupled open-source CMS that comes with great features for IT professionals and marketers. For marketers, there are customizable WYSIWYG editors, multi-device content previews and also built-in analytics dashboard. Because of appealing and natural administration panel, the no-code arrangement, Mura offers a simple to deploy UI. Developers can take an advantage from APIs, Docker support, CSS framework support and also support for javascript frameworks like React.js, Vue.js and Ember.js.

6. Netlify-

It is an open-source content management system used with any static generator for flexible web project. It is created as a single-page React app. Using Netlify, content is stored in Git repository with your code for easy versioning, multi-channel publishing and option to handle content updates directly in Git. Some of the best features of Netlify are- editor friendly user interface, intuitive workflow for content teams and instant access without GitHub account. Flexport, Google, TriNet, LiveChat are some of the popular companies using Netlify.

7. Directus-

It is a headless CMS used for modified data set projects. Main stage is made up of backbone.js and REST is liable for API. It stores all framework information independently. This allows clients to control whole mapping and can oversee existing data sets freely. Whereas, information tracking nd potential rollbacks, help to prevent loss of information. 

Directus manages custom-schema SQL databases directly. Developers can create custom databases based on project requirements without learning a framework or being forced to build using specific technologies. Once the database is ready, Directus’ API or SDK can be connected, which  results in a customizable interface that business users can use to manage database content for their apps and websites.

8. Bloomreach-

It offers mainly three solutions- Bloomreach Experience (brX), Bloomreach Search and Merchandising(brSM) and Bloomreach experience manager(brXM). To create, manage and deliver content, Bloomreach experience is the best solution. brSM is used to optimize and personalize each visitor’s search, browse and landing page experiences. brXM allows to integrate content and with the systems very quickly. Many popular companies like Puma, Deutsche Telekom and Bosch uses Bloomreach

9. DatoCMS-

This headless content as a service(CaaS) platform supports various languages. DatoCMS allows brands to organize digital assets in folders, locate media files quickly by using AI-powered tagging or sophisticated search capabilities, and publish them wherever they need it. 

10. Solodev-

It lets individuals and organizations to work together on their digital transformation in the cloud. Solodev is powered by AWS(Amazon web services) and provides enterprise-grade security, scalability and redundancy. Users can select from a pre-built theme like inspiring LunarXP design template, or go custom and start from scratch.

Node.js Vs Java- Which Is Best For Mobile App Development?

 

Selecting the best technology for app development is a crucial task as it drives apps towards success. Node.js and Java are two popular technologies in the app development world. Node.js was written by Ryan Dahi in 2009. Let’s first clear that, Node.js is not a programming language, also it is not a framework. It is an open-source, cross-platform Javascript run time environment which executes Javascript code outside of the browser. It is also used to build back-end services(APIs). Whereas, Java is one of the most adopted programming languages in the world. Then which one to choose for app development in 2021? To answer this question, here we’ll compare Node.js vs Java on the basis of various parameters. But before digging to the comparison, let us see overview of Node.js and Java.

What Is Node.js?

Node.js is a server-side, Javascript-based runtime environment. It attributes its success as a high-performance, scalable framework to the single-threaded process used for web loads and also async programming. Also, you can use Node.js based frameworks like Express, Socket.io and Meteor.js within it to improve the backend capability of a project. It is designed with real-time and push-based architectures to build single page apps, websites and backend API services.

One can use Node.js to build microservices, iot based apps, streaming web apps, real-time software & streaming apps, complex single-page apps, backends and servers, scripting and automation etc.

Know the role of Node.js in iot app development at- Role of Node.js in Internet of things (IOT)

Twitter, Netflix, Trello are some of the most popular apps developed with Node.js.

What Is Java?

Java is a popular programming language which promotes the use of object-oriented concepts after C++. It works with “write once and run anywhere(WORA)” principle means the code can run on all the platforms that support Java without need of recompilation.  Java is a secure, stable an flexible programming language so a perfect solution for banking, eCommerce, FinTech and transportation services. 

One can use Java for android app development, web app development, game development, software tools, test automation. Scientific apps, enterprise applications, embedded systems, app servers/web servers, big data technologies, Banking and FinTech applications and so on.

Ebay, google docs, Spotify, netflix are some of the popular apps built with Java.

Node.js Vs Java-

1. Architecture-

Node.js-

Node.js uses a single-threaded Event loop architecture which allows it to handle multiple concurrent requests with high performance. It also allows you to make use of MVC/MVP architecture pattern, that eases isolating and onboarding issues in the app codebase. Also, it creates multiple views for the same data and supports asynchronous communication between various components.

Java-

Developers prefer MVC(Model-View-Controller) pattern to build apps with Java where Model represents objects in Java, and design pattern resembles the internal architecture of language. It advances simple code  maintenance and trouble-free testing of apps. Developers can classify individual roles and work on various functionalities in large apps. Hence the changes that are made in one module don’t affect the whole application. It improves productivity of development teams and results in faster time to market applications.

2. Scalability-

Node.js-

It builds highly scalable applications. Non-blocking I/O and event-driven models manages multiple concurrent requests. Also, event-loop mechanism enables the server to process a maximum number of requests. It’d be ideal if the numerous services are distributed to separate work servers, it expands Nodejs’ effectiveness and scalability. So different development teams can segregate tasks and rapidly develop apps scalably.

Java-

Java is scalable and this makes it best to perform for enterprise apps. Also it is important to implement best practices like vertical scalability to add more computational resources like CPUs and RAM. EJB(Enterprise Java beans) that is known as development architecture is used to build highly scalable and robust enterprise-level apps in Java. The EJB architecture is accompanied by application server that facilitates the processing of numerous requests. Along these, it offers good scalability. Also, enterprise based applications use an event-driven architecture that encourages module separation for various functions and centrally controls input data. It is best to build complex functionalities and implement high-scalability in the projects. Projects that involve adding new functionalities adopt this design pattern.

3. Thread Control-

Nodejs-

With Nodejs, you can write few lines of code and get simple web server. It is not easy to implement but there are some frameworks that allow you to solve similar problems.

Java-

Java has developed concurrent api that allows you to work with competitive streams. But at the same time, problem with concurrency is that it is a difficult thing that not every developer understands well enough to be able to implement. Sometimes, Web- REST API of node.js is used for that. Whereas if we are dealing with complex calculations, it’s better to go with Java. 

4. Performance-

Node.js-

It inherits the asynchronous and non-blocking from Javascript, so creates a perfect environment for small tasks that don’t affect main app thread. Also, apps built in Nodejs perform best because of multitasking and V8 Javascript engine. Node.js’s event-driven architecture allows efficient multi-tasking that improves app performance. Framework processes multiple requests simultaneously compared to other backend solutions.   

Java-

Java programs are written as byte codes. Means java performs better and faster than other programming languages. Virtual machines easily interpret these byte-code instructions and deliver faster and efficient app. JVM is optimized to provide an efficient code interpretation in its new versions. Java introduced elements like just-in-time compiler to deliver high-performing applications.

5. Testing-

Nodejs-

Nodejs provides competent testing and debugging capabilities with its rich ecosystem of third-party packages. Automated tools and frameworks such as Jest, Mocha, Lab and code, jasmine and AVA create a sound testing ecosystem for Nodejs applications. Also, you can make use of testing libraries like Mocha, Jest and Chai to provide seamless experience. 

Java-

It allows developers to write test cases so team members can write flexible tests with grouping, sequencing and data-driven features. It eases the writing of parallel tests and also supports multiple testing frameworks and tools like JUnit, Selenium, TestNG, Apache JMeter and FitNess. Java provides compatibility and support to some popular IDEs and builds tools like IntelliJ, IDEA, Eclipse, NetBeans, Maven an dso on.

6. Specificities-

Node.js-

• It is easy to get started
• Best for prototyping and agile development
• Can apply to build superfast and highly scalable services
• Uses largest ecosystem of open-source libraries available to anyone
• Node.js doubles the number of requests served per second while decreasing the average response time by 35%
• With PayPal changes, Node uses 33% of few lines of code and 40% of fewer files as compared to previous Java-based application

Java-

• Supported by all devices and OS that exist today
• Shows better result in its performance, gradually improved by each update.
• Includes libraries to reduce workload. It is a set of precoded classes and methods, that solve particular problems.
• Robustness- ‘Robust code’ means your program manages all possibilities of error. Java has strong memory allocation and automatic garbage collection mechanism. It provides powerful exception handling and type-checking mechanism as compared to other programming languages
• Has built-in security features enforced by Java compiler and virtual machine that make Java the best language for enterprise, financial, scientific and web development.
• It is good at integration- there are specifications and implementations for integrating with many system types that you’re likely to run into in an “enterprise” environment.

7. Community-

Node.js-

It has a robust community and as per report, 51.4% of professional developers use Nodejs for frameworks, libraries, and tools. Compaies like Amazon, Facebook and Google have made contributions to the Nodejs environment and this makes technology more credible. Dev.to, Github, Stackoverflow, Nodebb, reddit are some of the Nodejs community forums.

Java-

It has a strong community support for issues and complex queries. Huge community means frequent updates, bug squashing and innovation. In terms of active software developer community, Java is in a list of top three programming languages.

Final Words-

Selecting the best one between Node.js or Java is a tough decision even for skilled development teams. So, here we came with a short conclusion according to the requirements.

When To Choose Node.js?

• Choose Node.js when you want to build a web app to stream content.
• When you have to build a performant single-page app, web app with efficient data processing capabilities.
• If you want to build real-time multi-user web app
• You want to create browser-based game app

When To Choose Java?

• When you want to build enterprise apps, highly scalable apps, ecommerce and big data apps
• You want to build cryptocurrency app with advanced security features
• Want to use a matured framework with rich community support

Amazing New Features Of Flutter 2.0

 

Google’s Flutter introduced a recent launch Flutter 2.0 that incorporates some amazing new features. It is one of the most awaited stable release of the platform after the release of Flutter 1.0 almost two years ago. Flutter 2.0 will now completely support for website and desktop applications, so that programmers can apply a common codebase for iOS, Android, Windows, macOS and Linux OS. The first version of UI device package focused on app builders when launched in 2017. The developers want that this compatibility, among unique advanced features, will drive more software engineers to the platform, as many seeking open-source programs are most adequately supported for mobile application development.

Using Google’s own Dart programming language, Flutter is designed to help developers to build apps that experience native to every platform they run on whilst sharing as much of code as feasible to avoid repetitive efforts. Here we will see new features in Flutter 2.0 that will be helpful for Foldable and Dual-Display Devices. 

Flutter 2.0 New Features-

1. Flutter For Desktop-

You can extend flutter to support desktop applications. Flutter allows developers to give a native-like app experience on each platform that it resides. Native-like experience includes mouse dragging with accuracy, built-in context menu, text selection pivot points and so on. Now, programmers can stop keyboard events even after their initiation. Developers can also expertise in grabbing handles and easily move items in the ReorderableListView widget. Also, there is an updated scrollbar widget that provides interactiveness in desktop applications using thumb.

Desktop flutter application will also show mouse hovers in page up – down tracks, and scroll bar. With this, developers can also use new ScrollabrTheme class to customize app according to requirement. Flutter release also allows seamless resizing for Windows and macOS.  If you are thinking to deploy app on OS stores, you can go through the document provided by Flutter community. Developers can get detailed information about beta channels if they want to try the beta for flutter desktop. The stable channel doesn’t provide quick bug fixes as supported in the beta version. Flutter community moves ahead in the production-quality release so you can expect support for integration with native top-level menus, native-like text editing and accessibility support.

2. Web Support-

Flutter’s production quality web support is one of the largest declaration in Flutter 2.0. Earlier the web’s foundation was document-centric. However the web platform has developed to provide rich platform APIs that allow extremely sophisticated apps using hardware-accelerated 2D-3D graphics, paint APIs and flexible layout.

Flutter’s support for the web builds up these innovations, providing an application centered framework that reaps the benefits of all that the advanced web should give. This release focuses on 3 app scenarios: Progressive web apps, single page apps, bringing current flutter mobile apps to the web. Mainly google focused on performance and improvements to their rendering fidelity. Google added new CanvasKit based rendered made with WebAssembly. They also added features that are specific to web such as control on address bar URLs,text autofill, PWA manifests and routing. They also included a Link Widget to ensure that the mobile app running in the browser feels like web app.

3. Add To App-

Developers can leverage the benefits of Flutter, by adding it to their current Android and iOS apps, this feature is called as Add-to-App. It is a best way to reuse the Flutter code across both platforms while still storing current native codebase. New APIs that allow it are in preview on beta channel. These APIs are well documented on flutter.dev with a set of sample projects showing this new pattern. With this change, Google can suggest instance building of Flutter engine in native applications.

4. Flutter Fix-

At whatever point any framework matures and accumulates users with large and large codebases, the inclination throughout the years is to try not to make any changes to the framework API to avoid breaking progressively more lines of code. With more than 5 lakhs Flutter app developers across an increasing number of platforms, Flutter 2 is fast come down into this category. Flutter Fix is combination of things. First, command line choice to the dart CLI tool called as dart repair that knows in which to search for a listing of deprecated APIs and a way to update code the use of one’s APIs. Second, it’s the listing of to be had fixes itself, that is combined with Flutter SDK as a version 2.0.

At last it is an updated set of Flutter extensions for VS Code, Android Studio IDEs, IntelliJ that recognize how to show that identical list of to be had fixes with little light bulbs that will help to modify the code with click of mouse.

5. Google Mobile Ads To Beta-

Google releases the beta version of Google Mobile Ads for Flutter. This new SDK functions admirably with AdManager and AdMob for giving different ad formats, joining local, banner, rewarded video ads, and interstitial. Google has been uncovering this SDK with numerous primary customers like Sua Musica, the largest music platform for some specialists in Latin America. Now, Google is ready for opening the Google Mobile Ads for Flutter SDK for more adoption. Also, the organization declared updates to its Flutter plug-ins for many Firebase services, like Cloud Firestore, Cloud messaging, Authentication, cloud functions, Crashlytics and cloud storage, incorporating help for sound null safety and an update of cloud messaging package.

6. Support For Sound Null Safety-

Google launched Dart 2.12 with support for sound null safety. It can reduce cringe null reference exceptions and provides assurances at development and runtime that types can comprise null values in case the developer selects expressly. This latest update also includes a consistent application of FFI, that allows developers to write high-performance code which can interoperate with C-based APIs, new profiler tooling written with Flutter and integrated developer, and many size and performance improvements that upgrade your code for free.

7. Autocomplete And ScaffoldMessenger-

While building mobile apps, now developers can have access to two new widgets named as Autocomplete core and ScaffoldMessenger. Autocomplete is necessary and demanded feature which allows inducing auto-complete features in native apps built using Flutter. Whereas, Scaffoldmessenger helps in easy creation of SnackBar to be in action between Scaffold transitions.

8. Flutter Folio-

Now flutter supports 3 platforms- android, iOS and web for app development and 3 more in beta(Linux, macOS and Windows). How is it possible to write an app that changes itself to several form factors, various idioms(desktop, web and mobile) and different input modes (mouse, keyboard and touch)? Google appointed the Flutter Folio scrapbooking application for responding to this question. Folio is simple example of app that will run appropriately on different platforms from just one codebase. This app is called as platform adaptive because it adapts properly to whatever platform it is running on.

9. Flutter DevTools-

With release of Flutter 2.0, the community has changed the name from DevTools to FlutterDevTools, particularly while debugging. New DevTool will allow AndroidStudio, IntelliJ or Visual Studio Code to check for exception and assist you with debugging. New DevTool has the capability to identify an image with higher resolution than shown. It helps to track extra memory use and app size. Google also included the capacity to display fixed layouts, allowing developers to debug all types of layouts. Here are some of the new features in Flutter DevTools 2 –

• Performance view is renamed to ‘CPU Profiler’, that makes it clearer about functionality if offers
• Improvements in usability and average FPS data are included to Flutter Frames Chart
• Filtering and search are added to Logging tab
• New memory view charts are easy to use, quicker and smaller, using a new hovercard for explaining activity at specific time.
• Timing grid is added to CPU Profiler flame charts.
• Tracking logs form is started before DevTools, so developers can see the logging history when they start it up
• Timeline view is renamed to ‘Performance’ that makes it clear about the functionality that it offers

Know more at- https://solaceinfotech.com/blog/amazing-new-features-of-flutter-2-0/

Top 10 Code Review Tools In 2021

 

Software development includes many processes and code review is one of them. It involves the testing of source code to identify bugs at an early stage. Code review process is generally conducted before emerging with the codebase. A successful code review prevents bugs and errors from getting into your project by improving code quality at a beginning phase of the software development process. Code review tools automates the review process which reduces the reviewing task of code. There are two ways to perform review- Formal inspection and Walkthroughs. Using formal inspections, we can find out more defects but it is time consuming and difficult. 

Here we’ll see the details of code review and most popular code review tools. 

What Is The Code Review Process?

Main goal of code review process is to analyze new code for bugs, errors and quality standards set by the organization. Code review processes should not only consist of one-sided feedback. So, the benefit of code review process is the team’s improved coding skills. If you’re thinking to initiate a code review process in your organization, you should first decide who would review the code. If you have a small team, you may assign team leads to review all code. And if a team is larger in size with multiple reviewers, you can enable a process in which each code review is assigned to skilled developers. You  have to decide on timelines, rounds and minimal requirements for submitting code review requests. Last consideration is about how feedback should be given in the code review process. Ensure that you highlight the positive aspects of code while suggesting alternatives of drawbacks. Let us see best code review tools in market.

Also know the code review best practices at- Code Review Process: Best Practices

Top 10 Code Review Tools In 2021-

1. Collaborator-

It is a code review tool by SmartBear for development teams. Collaborator enables teams to review design documents also. It supports a large number of version control systems such as Git, CVS, Mercurial, Perforce and TFS. It can seamlessly integrate with popular management tools and IDEs such as Jira, Eclipse and visual Studio. This tool also allows reporting and analysis of key metrics that are related to your code review process. Also it helps in audit management and bug tracking.

Features-

• With collaborator, you can see changes, identify defects and make comments on specific lines, set review rules and automatic notifications to ensure that reviews are completed on time.
• Easy integration with 11 different SCMs and IDEs such as visual studio and eclipse.
• Custom review templates are unique to collaborator. Set custom fields, checklists and participant groups to tailor peer reviews to your team’s ideal workflow.
• Build custom review reports to drive process improvement and ease auditing.
• Conduct peer document review in the same tool so that teams can easily align on requirements, design changes and compliance load.

2. Review Assistant-

It is an extension to visual studio and supports visual studio 2019, 2017, 2015, 2013, 2012 and 2010. Review assistant helps to create review requests and respond to them without leaving IDE. It supports Git, TFS, Subversion, Mercurial, Perforce. Review assistant adds Code Review Board window to an IDE and the window is designed to manage all reviews available to a user.

Features-

• Iterative review with defect fixing
• Flexible code reviews
• Email notifications
• Reporting and statistics
• High integration features
• Drop-in replacement for visual studio review feature

3. CodeScene-

CodeScene is a code review tool that goes beyond traditional static code analysis. It detects and prioritizes technical debt based on how the organization works with the code. It integrates into your delivery pipeline as an extra teammate that predicts delivery risks and provides context-aware quality gates. Codescene can integrate with GitHub, BitBucket, GitLab or codescene’s official Jenkins plugin. It can also perform behavioral code analysis by including temporal dimension to analyze the evolution of codebase. This tool is available in two forms: a cloud-based solution and an on-premise solution.

Features-

• Works with any Git hosting
• Quality gates for CI/CD
• Automatic code review comments on pull requests
• Integrates with Jira to track trends in delivery performance
• Supervises technical debt and code health
• Goal oriented work-flow for planning improvements
• It is available in both on-premise and as a hosted version

4. Embold-

It is a software analytics platform that analyses source code across dimensions as – code issues, design issues, metrics and duplication. Embold detects issues that impact stability, robustness, security and maintainability. It can integrate with Azure, Github, Bitbucket and supports more than 10 languages. 

Features-

• Embold score feature helps pinpoint risk areas and prioritize important fixes.
• Free OS and cloud versions are available
• Free plugins for IntelliJ IDEA, Visual Studio and Eclipse are available
• Attractive visuals like smart heatmaps portray the size and quality of each component of your software at a glance
• Patented anti-patterns show class, functional and method level structural issues in the code that negatively affect maintainability

5. Codestriker-

Know more at- https://solaceinfotech.com/blog/top-10-code-review-tools-in-2021/

Grey Box Testing – All You Need To Know About

 

Testing plays a vital role in development of stable and secure software solutions and verify that software performs as expected. Most common approaches of software testing are white box testing, black box testing and gray box testing. White box testing and black box testing have their own pros and cons. Gray box testing combines two testing approaches so as to overcome their deficits. It aims to amend the loopholes and shortcomings found in white box and black box testing. It has been developed to be a beneficial blend of the two testing techniques. In Grey box testing, testers have access to the design document and database rather than only the user interface. It is also called translucent testing. This kind of testing can be used to debug software and evaluate vulnerabilities. Before digging to the details of Grey box testing, let us see what is Grey box testing?

What Is Grey Box Testing?

Grey Box Testing

Grey box testing is a testing technique which is a combination of White box testing and black box testing. In white box testing the internal structure of  product is known whereas in black box testing internal structure is unknown to the tester. In Grey box testing internal structure is partially known and it includes access to internal data structures and algorithms to design the test cases. Commonly it focuses on context-specific errors related to web systems. Grey box testing is a great way to find security flaws in programs. It can help to discover bugs or exploits because of the incorrect code structure or incorrect use of applications. 

Grey box tester takes the code-specific approach of white box testing and combines it with various approaches of black box testing such as functional testing and regression testing.

Need Of Grey Box Testing-

• Grey box testing is independent of platform and language
• It can test data domains, internal boundaries and overflow.
• Checks the high level design environment and interoperability conditions
• It can detect defects that are not easily detected by black box or white box analysis, like end to end information flow, distributed hardware/software system configuration and compatibility.
• This testing can uncover several context-specific errors 
• It combines the input of developers as well as testers and improves overall product quality

How To Perform Grey Box Testing?

While performing gray box testing, it is not necessary to design test cases from the source code. Testers can design test cases as per algorithms, internal states or high-level description of code. Let us see the steps to  perform grey box testing.

Steps To Perform Grey Box Testing-

• Identify inputs from Blackbox testing and white box testing and select the appropriate test data.
• Identify the expected outputs from the selected inputs
• Recognize the major paths to traverse through during the testing period
• Identify the sub-functions that are part of main functions to do deep level testing
• Point out inputs for subfunctions
• Identify the expected outputs for subfunctions
• Start execution of test case for subfunctions
• Verify correctness of result

Grey Box Testing Techniques-

1. Matrix Testing-

It begins when developers define variables in their program, status report of the project is stated. Every variable may inherent technical risks, business risk and also can be used with different frequency during its life cycle.

2. Pattern Testing-

It analyses the historical data of previous system defects. Testers inspect the code and try to determine the reason for failure. This can help the team in test case designing and so helps in finding the failures proactively. This kind of test case design gets influenced by coding structure of app.

3. Orthogonal Array-

It is a statistical testing technique generally executed in complex applications. Gray box testing blends the power of statistical testing and elaborate testing to provide proper coverage. This helps to reduce the number of combination to provide maximum coverage with the minimum number of test cases. 

4. Regression-

To check whether the change in the previous version has regressed other aspects of the program in the new version. It will be done by testing strategies such as retest all, retest risky use cases, retest within a firewall.

Black Box Testing vs White Box Testing vs Grey Box Testing-

	Black Box Testing	White Box Testing	Grey Box Testing
1	For black box testing knowledge of internal working structure (Code) is not required.	For white box testing knowledge of internal working structure (Coding of software) is necessarily required.	For Grey box testing, partially Knowledge of the internal working structure is required.
2	Black Box Testing is also known as functional testing, data-driven testing, and closed box testing.	White Box Testing is also known as structural testing, clear box testing, code-based testing, and transparent testing.	Grey Box Testing is also known as translucent testing as the tester has limited knowledge of coding
3	Black box testing approach includes trial techniques and error guessing method because tester does not need knowledge of internal coding of the software.	White Box Testing is proceeded by verifying the system boundaries and data domains inherent in the software as there is no lack of internal coding knowledge.	If the tester has knowledge of coding, then it is proceeded by validating data domains and internal system boundaries of the software.
4	It is difficult to discover hidden errors of the software because errors can be due to internal working which is unknown for Black Box testing.	It is simple to discover hidden errors because it can be due to internal working which is deeply explored in White Box testing.	Difficult to discover the hidden error. Might be found in user level testing.
5	It is not considered for algorithm testing.	It is well suitable and recommended for algorithm testing.	It is considered for algorithm testing.
6	Tester, developer and the end user can be the part of testing.	Only tester and developer can be a part of testing; the end user can not involve.	Tester, developer and the end user can be the part of testing.
7	It is less exhaustive than White Box and Grey Box testing methods.	It is most exhaustive between Black Box and Grey Box testing methods.	Partly exhaustive; depends upon the type of test cases are coding based or GUI based.

Advantages Of Grey Box Testing-

• For grey box testing, there is no need of high programming skills.
• It is non-intrusive.
• Quality of product is improved
• Users and developers have clear goals while testing
• This testing avoids conflicts between tester and developer
• In this type of testing, developers have more time for defect fixing
• Gray box testing is much more effective in integration testing.

Disadvantages Of Grey Box Testing-

• Limited access to internal structure leads to limited access for code path traversal
• Source code cannot be accessed so doing complete white box testing is not possible
• It is not suitable for algorithm testing
• Many test cases are difficult to design
• While performing this kind of testing for distributed systems, defect association is difficult.

Gray Box Testing Challenges-

• Testers may not be given access to the source code so it can result in missing certain critical vulnerabilities.
• It can be unrealistic and time-consuming to check every potential input i.e chances are there that particular program paths will not be tested.
• It needs more time to cover the input path for a large application, this can increase project budget, and can increase project deadline.

Final Words-

Testing plays an important role in software development and grey box testing one of its kind. Here you’ve seen the basics of grey box testing.

Swift Vs Python – Which One Is Best?

 

Technology is changing day by day as per the need of competition and future. Every year or month, we experience modifications in programming languages. Some programming languages become more popular whereas some become outdated. These days, swift and python are two programming languages that have gained popularity in ios development market. What’s more, even their popularity grows consistently and holds a special space among the software developers. As per the recent statistics, Python is the most popular language and preferred by developers. Whereas, Swift is also popular like Python and it will be the next fastest-growing language after python. So finally which will be an iOS leader in 2021? And why? To know the answer of this question, you must know the comparison of Swift vs Python. Let’s see the differences between these two languages. 

Swift Vs Python Comparison-

Can you say that a particular language is best? How can you choose a best programming language for your product? This all depends on various factors like purpose of the product, its features, market you are targeting, and your budget. Sometimes, there are chances to change programming language. So it is necessary to know the differences and similarities between Python and Swift. Here we will see detailed comparison Swift vs Python.

Swift-

Swift is a powerful open-source programming language announced in 2014 by Apple. Due to the open source it has gained a huge popularity. In 2017, Swift increased its roots and grabbed the position under the top 11 programming languages. It is easy to use and anyone with an idea can create something incredible with this programming language.

Various popular companies like linkedin, Clear, Kickstarter, SkyGuide etc. are prominently using Swift as a programming language for their iOS app development.

Know the reasons of – Why enterprises prefer to develop apps in Swift?

Advantages of Swift-

1. Open-source-

Swift became an open-source in the year 2015. This had a major impact on Swift popularity. And in 2015, it became GitHub’s most loved language and in 2016 it came in the 2nd place.

2. Easy Code Readability And Maintenance-

If you are searching a simple and easy to read programming language, Swift will be the best choice for iOS development. Because of less code, Swift is compact and also can be reused to a great extent. It can also maintain everything in .swift file, reducing developer’s headache of maintaining two separate files for single code. When you use Swift for iOS apps, it doesn’t hamper any apps’ performance.

3. Compatibility With Objective C-

Swift is compatible with Objective-C’s libraries and frameworks. Language correlation allows you to import frameworks from Objective-C using Swift syntax. Language correlation allows you to import frameworks from Objective-C using swift syntax. With this, programmers can use Object C APIs and classes.

4. Improved Performance-

Performance of Swift depends on C++ likes, meaning that it is known as one of the fastest programming languages beating Objective C. As per the analysis, Swift language is three times faster than Objective-C and 8 times faster than Python. Also, its compatibility with cross platform and dynamic library support helps it to perform best in terms of speed.

Disadvantages Of Swift-

1. Limited Talent Resource-

As swift is in its initial stage, there is a lack of talented Swift developers. The demand for Swift coders is increasing.

2. Instability-

Many developers point to the same issue. Due to the changes in new versions, Swift is unstable. Means if a developer wants to switch a project to a new version of Swift, they need to rewrite the code. This issue was partly solved by introducing Swift Migration Tool for XCode that makes easy migration from third to fourth version.

3. Less Native Libraries-

Still there is a lack of native Swift tools that can work seamlessly in various versions. Many libraries and frameworks are made for early versions but are useless for new.

Python-

Python is a dynamic high-level programming language released in 1991. With the time it became useful for various purposes, like machine learning, data science and back-end development. In 2017, python was the fastest growing programming language. You can use python for web development, DevOps/system administration/writing automation scripts, data analysis, programming of web parsers/scrapers, educational purpose, machine learning, software testing/writing automated tests etc.

Many popular companies like Dropbox, Netflix, Quora, Reddit, Facebook, Instagram, Spotify use Python.

Advantages of Python-

1. Easy-

Simplicity of code and readability are the two most important benefits of learning Python. It looks like simple english so easy to ready and use by everyone. Python is a suitable and good solution for beginners who want to get to know a programming language regardless of their skill.  

2. Open-Source-

Python is open source, thus one can download and change it’s source code. And this helped to build a strong community that continues improving it.

3. Object Oriented Language-

This programming language consists of both procedural and object oriented languages. Due to the procedural support, developers can reuse code. Also, the object-oriented methodology can access different inheritance and finalizing data and functions into one.

4. Large Standard Library-

Being old in a programming industry, Python comes with a huge range of libraries and frameworks for different purposes. Standard library provides a  set of modules and functions, so developers don’t need to write code again for each single thing. Some popular libraries are- Plotly, NumPy, Pandas, Pipenv for regular expressions, unit-testing and web browsers. It can also include popular frameworks like Django, Flask, CherryPy and PyTorch.

5. Integration With Other Languages-

Python is an extensible and embedded programming language, thus can be easily integrated to C++, C and Java apps.

6. Improved Productivity-

Python is a productive language and because of simplicity developers can focus on solving problems rather than understanding the syntax or behavior of a programming language. You just need to write a few lines of code and achieve more by doing more things.

Disadvantages Of Python-

1. Design Restriction-

Python has some design restrictions. Since, python is dynamically typed language which uses duck typing, it automatically detects a type of variable. Sometimes it creates issues. You have no need to identify the type of variable when declaring it, but it can cause runtime errors. 

2. Not Ideal For Mobile Development-

For mobile app development, Python is not a perfect language. But you can use Kivy- a cross platform Python framework to build mobile apps.

3. Memory Consumption-

Python consumes more memory and so doesn’t support intense memory tasks. 

Which One To Choose?

Both Swift and Python are good at what they do. Apple claims that Swift is  8.4x faster than Python. Python is older in the programming industry and Swift is rapidly gaining popularity in the market. If you are looking for a programming language to develop the best mobile app that work seamlessly with iOS platform then Swift is the best choice. But If you want to develop an artificial intelligence solution, Python will be the best decision for you. From all this, you came to know that choosing Python or Swift for coding depends on your purpose.