Test automation tools like Leapwork help your business focus on delivery, end-user experience, and innovation while reducing dependency on the developer. Today we’ll be reviewing these best-rated test automation tools that are just as good, if not better than Leapwork for your testing needs. You can create, execute and run all types of functional and non-functional tests for your IT enterprise with their help. Let’s start, shall we?

Software testing has evolved with time to detect and lessen errors in software and applications. The key software testing trends in 2022 suggest that 63% of QA teams consider test automation over manual testing for the agility required during the software development lifecycle (SDLC) while being cost-efficient. Manual testing still holds a fair share in testing processes, but enterprises have also heavily relied on automated testing to get over tedious, repetitive, and time-consuming tasks.

Impressing potential employers starts with a compelling automation tester resume. It doesn’t matter if you know white box, black box, and regressions like the back of your hand. Or you can design test cases like a machine. Not being able to list out scroll-stopping QA skillsets increases the likelihood of failing the 5-seconds scan from employers. Surprisingly, 51% of people use irrelevant buzzwords and wrong pronouns.

Our day-to-day lives are becoming increasingly reliant on the direction, decision-making, and support of AI systems. Never in the history of technology has the threat or the need to protect the integrity of such decision-making been more urgent or real. I recently served as an official reviewer for a new BCS pre-publication book titled “Artificial Intelligence and Software Testing – Building systems you can trust”.

Our businesses are becoming increasingly dependent on technology with each passing month and year. Particularly since the COVID-19 pandemic two years ago, digital technology in the workplace has matured at a staggering pace. Companies across all industries have been demanding more speed, agility, and flexibility since the global shift to remote work and technology has delivered across the board.

This article is the second in a series of overviews of our new UI. You can find the first one here. This time we will dive into the changes we’ve made in the design phase. We’ve addressed many pain points from the old UI that we want to detail here: This will make the design in OctoPerf even faster, so that you can focus more time on your tests and analyzing them.

We are going to look at how to test SOAP Services using JMeter and some of the issues that you can face when testing these services. We are going to provide some basic principles of SOAP in this post and while some requests can be complex in their definition and structure testing them is relatively straightforward.

There are many articles on the huge benefits of performance testing integrated into the development process and the concept of shift-left performance testing. We have also discussed the concepts of Load Test Driven Development which involves the creation of performance testing in parallel with the code development and sits alongside Test Driven Development. We are going to consider in this post how involving performance testing resources in the application design process can be a benefit.

For many companies, performance is the main reason to go with GraphQL. But is that a valid argument? Often developers compare GraphQL to REST APIs and see the N+1 requests (or over-fetching) as an important reason to go for GraphQL. Let's put that to the test and explore if GraphQL APIs actually can outperform existing REST APIs. For this, we'll take a GraphQL-ized REST API (from JSONPlaceholder) and test the performance of GraphQL and compare it to the REST approach.