With an increase in the adoption of agile and DevOps methodologies, the software testing industry is undergoing a paradigm shift. Test automation is gaining traction as there is very less time left to perform testing.  The automation testing tools not only provides intelligent automation but also provide smart analytics to address any testing challenges. Here is a list of top 5 automation testing tools and frameworks that can improve your software testing outcomes significantly.
Quickbooks has been around forever, and for good reason. The tool scales quickly from individual freelancers to small businesses to multinational enterprises, and offers lots of great business add-ons like payroll and payroll tax preparations. The most basic plans track payments, expenses, and invoices with a full reporting suite that gives small businesses deep insight into where their money comes from and goes to.
TestPlant eggPlant is a niche tool that is designed to model the user’s POV and activity rather than simply scripting their actions. Testers can interact with the testing product as the end users would, making it easier for testers who may not have a development or programming background. TestPlant eggPlant can be used to create test cases and scenarios without any programming and can be integrated into lab management and CI solutions.

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Crispin and Gregory define Test-Driven Development (TDD) as the process of writing and automating small unit tests before writing the piece of code that will make the test pass. TDD is used for continuous integration testing to ensure small units of code work together first. A unit test verifies the behavior of a small part of the code in the overall system. These tests are the primary candidate for the majority of automated tests. Even teams that are not practicing Agile development use TDD to prevent defects and design software (Agile Testing, 2008).
Software tests have to be repeated often during development cycles to ensure quality. Every time source code is modified software tests should be repeated. For each release of the software it may be tested on all supported operating systems and hardware configurations. Manually repeating these tests is costly and time consuming. Once created, automated tests can be run over and over again at no additional cost and they are much faster than manual tests. Automated software testing can reduce the time to run repetitive tests from days to hours. A time savings that translates directly into cost savings.
With automated testing, that time is cut drastically. The work for automated testers is instead spent coding the tests and making improvements to these tests repeatedly as adjustments are needed. Once the test is complete, however, automated testing allows for the recycled use of tests so that they do not have to go through this whole process again. In essence, the time spent on the mundane tasks and repetition a manual tester would go through is instead spent focusing on larger, more important issues involving the software you’re developing.

But if test automation is so limited, why do we do it in the first place? Because we have to, there is simply no other way. Because development adds up, testing doesn’t. Each iteration and release adds new features to the software (or so it should). And they need to be tested, manually. But new features also usually cause changes in the software that can break existing functionality. So existing functionality has to be tested, too. Ideally, you even want existing functionality to be tested continuously, so you recognise fast if changes break existing functionality and need some rework. But even if you only test before releases, in a team with a fixed number of developers and testers, over time, the testers are bound to fall behind. This is why at some point, testing has to be automated.
Continuous testing is the process of executing automated tests as part of the software delivery pipeline to obtain immediate feedback on the business risks associated with a software release candidate.[14][15] For Continuous Testing, the scope of testing extends from validating bottom-up requirements or user stories to assessing the system requirements associated with overarching business goals.[16]
Though it is expensive, Unified Functional Testing is one of the most popular tools for large enterprises. UFT offers everything that developers need for the process of load testing and test automation, which includes API, web services, and GUI testing for mobile apps, web, and desktop applications. A multi-platform test suite, UFT can perform advanced tasks such as producing documentation and providing image-based object recognition. UFT can also be integrated with tools such as Jenkins.
Core product functionalities such as accounting, cash management, purchasing, subscription billing and financial consolidation are present. Easier information entry and error minimization are possible with the platform’s general ledger. The system can cut down income losses and is able to effectively control margins and costs. Computing for currency difference is much easier using the solution as it offers multi-currency support. In addition, it can streamline compliance by automating sales tax management.
Citrus Framework is an automated testing tool with integration framework for messaging protocols and data formats. HTTP, REST, JMS and SOAP can all be tested within the Citrus Framework, outside of broader scope functional automated testing tools such as Selenium. Citrus will identify whether the program is appropriately dispatching communications and whether the results are as expected. It can also be integrated with Selenium if another front-end functionality testing has to be automated. Thus, this is a specific tool that is designed to automate and repeat tests that will validate exchanged messages.
Tools are specifically designed to target some particular test environment, such as Windows and web automation tools, etc. Tools serve as a driving agent for an automation process. However, an automation framework is not a tool to perform a specific task, but rather infrastructure that provides the solution where different tools can do their job in a unified manner. This provides a common platform for the automation engineer.
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