Functional testing Tag

7 Best Functional Testing Tools to Use in 2023

Functional testing is a way to verify that software applications are providing expected outputs as required by the end-user or business. Functional tests are concerned with evaluating and comparing software functions with business requirements and quality standards. We at Q-Pros rely on a heavy arsenal of testing tools and modern utilities that help our teams achieve guaranteed and accurate results. In this article, we will look at the most renowned functional testing tools and why you should be using them in 2023 to achieve higher status in the testing world. Overview Let us start by looking at the criteria of which we will be relying on to consider a functional testing tools in our top 7 list. Usability–It is important for testing providers to make sure that the testing tools used can be used by team members with multiple levels of experience, and by more than one section or department within diverse teams. Integrations – In order to maximize a testing tool’s potential, it needs to be able to integrate with a wide range of software and coding languages. A good testing tool will make use of common frameworks to facilitate the work. User Interface – The perfect testing tool to choose needs to be well designed with a smart, easy to use interface. And so, based on our assessment framework, here is a list of 7 functional testing tools to use in 2023: 1. Selenium Selenium is one of the best test automation tools available for QA engineers and developers. It offers its users several libraries and tools that allow for efficient browser testing. One of Selenium’s top benefits is that it allows users to design test cases based on functional specifications with ease by offering options to change and control HTML elements to their exact needs. Its latest version (Selenium 4) supports several programming languages, offering simple implementations with JavaScript, C#, Ruby, Python, and Java. It is also worth mentioning that Selenium is an open-source tool that is free to use! 2. SmartBear Ready API SmartBear ReadyAPI is a functional tool designed for API testing, and it goes well with Agile and DevOps methodologies. It offers functional testing, API Performance testing, and API web Virtualization. ReadyAPI also provides automation options at every building stage through CI/CD pipelines. It offers you the ability to build data-driven functional API tests. The tool also integrates with any testing environment that uses Smart Assertion features. ReadyAPI provides integration with platforms such as Jenkins, Docker, and Git. 3. TestRigor TestRigor stands out as an excellent functional testing tool as it allows its users to build automated tests in plain English from a human point of view. It also converts manual tests into AI-based automated tests. TestRigor analyzes all potential factors behind the scenes to use the most effective ones, which outcomes ultra-reliable tests for testing teams. TestRigor is a great tool to build and customize new tests, and it allows the testing team to focus on test building rather than maintenance. 4. TestComplete TestComplete is a GUI functional testing tool that provides adaptable testing solutions. It works with multiple languages such as JavaScript, Python, and VBScript. What makes TestComplete more efficient is that it allows you to record your test runs and go back to them after implantation and adjust them based on initial outcomes. The tool also provides you with the capability to map objects from the screen and display objects, therefore allowing you to monitor any object in addition to providing you with all possible Xpaths for that specific object. 5. SoapUI SoapUI is an open-source functional testing tool that supports requirements-based testing and API solutions. The tool is renowned for its flexible interface as it allows your team to easily navigate through it with basic technical experience. SoapUI offers an endpoint explorer feature that lets you select a certain desired method and save the REST endpoints of URL requests - (URL requests can be made in both JSON and XML formats) 6. Kobiton Specifically created for mobile app testing, Kobiton allows you to perform manual and automated functional testing, performance testing, and visual testing for Android and IOS devices. It also offers a parallel text execution option to combine tests from multiple devices operating systems and platforms. It gives you the ability to implement a full device lab involving local and cloud devices (both public and private clouds) Kobiton allows you to perform automated tests without any knowledge script-wise. It also offers the ability to convert manual tests into complex automated tests. 7. Testim Testim is an automated testing tool that provides AI-based test implementations. The platform relies on AI to verify and lock visual elements, increasing testing stability for UI functional testing. Testim visual editor allows you to record and edit tests to efficiently organize test cases, as well as giving you the ability to keep test steps in parameters, streamlining the testing process for all testing contributors. The tool also helps you to replace duplicated tests with shared objects. And there you have it, 7 of the best functional tools to use in QA in 2023. Q-Pros Q-Pros is a leading IT company and a testing services provider, and we rely on market-leading partners and vendors to guarantee accurate results for our clients in every domain and industry. Such vendors include Smart Bear, Microsoft, Oracle, Tricentis, and much more. Our teams make use of various tools and utilities that are chosen uniquely for each client depending on business requirements and project technical specifications. Request a unique testing service through our online testing form. ...

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Difference between Functional and Non-Functional testing?

Functional and Non-Functional Testing are two fundamental aspects of software quality assurance, each serving a distinct purpose in ensuring the reliability and performance of software applications. Functional Testing: Functional testing primarily focuses on evaluating the functions and features of a software application to ensure that it performs as intended. Testers examine the application against predefined requirements, and the key objective is to verify that it delivers the expected outcomes under various conditions. Test cases are designed to check specific functionalities, such as user interactions, data processing, and output generation. The goal is to identify any functional defects or discrepancies between the actual and expected results. Functional testing is essential for confirming that the software meets its intended purpose and user requirements. Non-Functional Testing: Non-functional testing, on the other hand, assesses aspects of an application that go beyond its basic functionality. It is concerned with performance, reliability, usability, and other quality attributes. Non-functional testing includes various types, such as: Performance Testing: This evaluates how well the application performs under different conditions, including load testing, stress testing, and scalability testing. Usability Testing: It examines the user-friendliness of the software, focusing on the user experience, accessibility, and overall usability. Security Testing: Security testing identifies vulnerabilities and ensures that data and resources are adequately protected. Reliability Testing: This verifies that the application consistently operates without failures or crashes. Scalability Testing: It assesses how well the software can adapt and handle increased workloads. In summary, while functional testing ensures that the software functions correctly, non-functional testing validates its performance, security, and usability under diverse conditions. Both types of testing are crucial for delivering a well-rounded, high-quality software product that meets user expectations and performs reliably in real-world scenarios. A well-designed Quality Assurance strategy should cover all software aspects. It would not only check the basic functionality of the application but also the way it performs its required functions. By understanding the difference between the two objectives, we establish that quality assurance agendas need to be distinctively dedicated to testing both how the application behaves (Functional Testing), and at what level of performance (Non-Functional Testing). In this article, we will learn the definition of both main testing approaches look at their key differences, and how we at Q-Pros apply each testing type to our services. What is Functional Testing? Functional testing is mainly concerned with testing a software’s behavior under test. This means we build a set of test cases, and we examine if the software is responding with the expected output. These tests are done in real environments to guarantee that the actual result is synchronized with client demands. This type of testing mostly consists of Black-box testing and is unconcerned with the application’s source code. Types of Functional Testing: Smoke testing – This type of testing checks functionally on a crucial level (Making sure the applications are working fine), it paves the way for other testing types to take part. Sanity testing – It is regarded as an extremely specific way of testing; it mainly focuses on testing a specific function within the application to check if it runs properly with no bugs or defects. Integration testing – This type of testing will determine if components within the system that are intended to integrate are functioning correctly in one singularity. Localization testing – A technique in which tests are performed to check if the application can cope and be suitable with local changes i.e., language, region, time zone. etc. Regression testing – A testing method that proceeds any changes that occur to the system's internal code to make sure no new bugs arise as a result of the modification. It also checks to see if the entire system is working fine with the novel changes. User Acceptance Testing (UAT) – This testing method is used to make sure that the application meets the user’s standards. Under a certain set of criteria, UAT sessions are carried out before the official launch/release date, to make sure that the applications hold their ground within a real environment and guarantee “user’s acceptance.” What is Non-Functional Testing? Non-functional testing is the testing of software application for its non-functional requirements i.e., the way the system operates, rather than the way the system behaves Non-functional testing is designed to assess a system’s readiness using non-functional factors never addressed by functional testing. Checking how many individuals can simultaneously log into software is an example of a non-functional test. Non-functional tests are just as important as functional testing and impact customer satisfaction. To consider any application a reliable one, we must check if the application is running smoothly with speed and efficiency, this will assure client and user satisfaction. To achieve that level of quality, a group of non-functional testing methods was established to cover all areas of performance indicators, these methods are mainly designed in a way that makes it difficult for manual testing and instead mostly rely on automated testing tools. Types of Non-functional Testing: Load testing – It is the process of assessing the behavior of a system in a simulated environment under predicted conditions (various numbers of users). Stress testing – A testing method that evaluates performance when resources are scarce, such as when a server is down or there is not enough capacity on a device’s hard drive. Scalability testing - This testing method determines whether a system can scale with additional usage and, if so, how much the performance is impacted. Security testing – A process of testing that determines how vulnerable a system is to attack and safeguard data. Volume testing – it evaluates performance with a large amount of data, not necessarily involving many users, but rather a single person executing a high-volume job, such as multiple-file uploading. (Functional Testing VS Non-Functional Testing) Functional Testing Non-Functional Testing Objective validating software actions. ensuring that the software performs as expected. Execution It is carried out before non-functional testing. This is done when the functional testing is completed. Usage Assists in the validation of the application's behavior. Assists in validating the application's performance. Testing tools It can simply rely on manual efforts. It is extremely difficult to execute manually. (Automated testing tools are used) Requirement It is done based on business requirements. It is done based on customer expectations and performance requirements as defined by IT. Q-Pros Q-Pros is a leading IT company specializing in providing testing services and Quality Assurance. Learn more about testing types and request one our unique testing services via our https://q-pros.com/online-test-request/ ...

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