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.
LiveAgent is a little more expensive for the most basic plan, but there are a lot of features packed in that you wouldn’t get from similarly priced options. Customer satisfaction and self-service tools, service level agreement rules and reporting, and even canned answers for common questions are all included at the lowest subscription cost. LiveAgent also has an optional VOIP tool as an extra add-on for companies who want to integrate their customer phone calls directly with their help desk.
Angie Jones is a Consulting Automation Engineer who advises several Scrum teams on automation strategies and has developed automation frameworks for many software products. Angie speaks and teaches internationally at software conferences, serving as an Adjunct College Professor of Computer Programming, and also teaches tech workshops to young girls through TechGirlz and Black Girls Code. Find out more on LinkedIn and at angiejones.tech
TestingXperts’ has developed an extensible automation framework, ‘Tx-Automate’, which is modular, reusable, integrated and compatible. The framework has ‘out-of-the-box’ best-in-class features for test automation including rich custom reporting, third party integrations, configurable execution options, etc. The framework helps configure/ create test suites by combining various automated tests and making those test suites available for execution. It inculcates industry best practices and features and can drastically reduce the effort to kick-start automation. As one of the best automation testing companies, we have dedicated teams with core expertise on all industry-leading tools like Selenium, HP UFT, Coded UI, TestComplete, Ranorex, Appium, etc. and can support test automation with a scripting language your team is comfortable with.
API testing is also being widely used by software testers due to the difficulty of creating and maintaining GUI-based automation testing. It involves directly testing APIs as part of integration testing, to determine if they meet expectations for functionality, reliability, performance, and security. Since APIs lack a GUI, API testing is performed at the message layer. API testing is considered critical when an API serves as the primary interface to application logic since GUI tests can be difficult to maintain with the short release cycles and frequent changes commonly used with agile software development and DevOps.
Yet we’re increasing delegating key quality assurance (QA) tasks to robots. The market for automated testing products is expected to be worth $20 billion by 2023 – three times as much as now. The ever-increasing complexity of software programmes, which have grown from a rudimentary series of command lines to a potentially infinite number of variables, have forced us to seek help from artificial intelligence. What’s more, the growing influence of agile and DevOps means we’re in a permanent sprint, and we need to speed up the QA process wherever we can.
What is more important is that testing is not only about finding bugs. As the Testing Manifesto from Growing Agile summarises very illustratively and to the point, testing is about getting to understand the product and the problem(s) it tries to solve and finding areas where the product or the underlying process can be improved. It is about preventing bugs, rather than finding bugs and building the best system by iteratively questioning each and every aspect and underlying assumption, rather than breaking the system. A good tester is a highly skilled professional, constantly communicating with customers, stakeholders and developers. So talking about automated testing is abstruse to the point of being comical.
With Acceptance Test-Driven Development (ATDD), business customers, testers, and developers can collaborate to produce testable requirements that help them build higher quality software more rapidly. However, ATDD is still widely misunderstood by many practitioners. ATDD by Example is the first practical, entry-level, hands-on guide to implementing and successfully applying it.
If any similar business application errors occurred in the past then the issue resolution steps are retrieved from the support knowledge base and the error is resolved using those steps. If it is a new support error, then new issue resolution steps are created and the error is resolved. The new support error resolution steps are recorded in the knowledge base for future use. For major business application errors (critical infrastructure or application failures), a phone conference call is initiated and all required support persons/teams join the call and they all work together to resolve the error.
Business applications can fail when an unexpected error occurs. This error could occur due to a data error (an unexpected data input or a wrong data input), an environment error (an in frastructure related error), a programming error, a human error or a work flow error. When a business application fails one needs to fix the business application error as soon as possible so that the business users can resume their work. This work of resolving business application errors is known as business application support.
To do more with less, developers reused test scripts during development and integration stages to work more efficiently. The demand for new software built, and the constant change to software under development opened the door for automation testing practices to serve as a reliable control mechanism for testing the code (Automated Software Testing, 1999).
A variation on this type of tool is for testing of web sites. Here, the "interface" is the web page. However, such a framework utilizes entirely different techniques because it is rendering HTML and listening to DOM Events instead of operating system events. Headless browsers or solutions based on Selenium Web Driver are normally used for this purpose.
However, actually building automated tests for web applications can be challenging because the user interface of your application might change regularly, because of incompatibilities between browsers and because you usually need to support various server or client platforms. The following tools make it easier to build and execute automated tests for your web application.