Software testing is a well known practice in which development teams investigate whether or not the software they’ve built actually does what it is supposed to do, and does not contain any errors that will affect the performance or security of the application. With the ongoing pressure to deliver software faster than ever before, software testing has become even more imperative to a business’ success.
There are many different approaches teams can take for software testing — automated testing, A/B testing, continuous testing, test-driven development and QA testing to name a few. In addition, there are many different areas and stages within the software that teams need to worry about.
The two main focuses associated with software testing are verification and validation. Verification ensures the software is working as specified, and validation ensures the software satisfies the requirements it was intended for. As software continues to be an important part of the business, testing will need to shift left in the lifecycle and be applied throughout the development process earlier and more often.
The testing company SmartBear has announced updates to three of its products, with the goal of improving visibility into the software development life cycle. “We continue to put our customers at the center of our strategies and deliver on their needs by expanding our product portfolio through innovative enhancements to our popular solutions used by … continue reading
Studies show that DevOps adoption is still a moving target for the vast majority of software development teams, with just 11% reporting full DevOps maturity in 2022. Navigating this transition requires organization-wide metrics that help everyone understand their role. To that end, Google developed the DORA (DevOps Research and Assessment) metrics to give development teams … continue reading
Test automation has undergone quite an evolution in the decades since it first became possible. Yet despite the obvious benefits, the digitalization of the software development industry has created some new challenges. It comes down to three big things, according to Kevin Parker, vice president of product at Appvance. The first is velocity and how … continue reading
The following is a listing of automated testing tool providers, along with a brief description of their offerings. FEATURED PROVIDERS APPVANCE is the leader in generative AI for Software Quality. Its premier product AIQ is an AI-native, unified software quality platform that delivers unprecedented levels of productivity to accelerate digital transformation in the enterprise. Leveraging generative … continue reading
The artificial intelligence-augmented software-testing market continues to rapidly evolve. As applications become increasingly complex, AI-augmented testing plays a critical role in helping teams deliver high-quality applications at speed. By 2027, 80% of enterprises will have integrated AI-augmented testing tools into their software engineering toolchain, which is a significant increase from 10% in 2022, according to … continue reading
Code coverage and end-to-end testing – sometimes called path testing – are particularly well-suited for automation, but they’re only as good as the training and implementation. Since AI doesn’t have an imagination, it is up to the model and whoever is feeding in that data to cover as many paths as you can in an … continue reading
As technology stacks become more complex and companies rely on infrastructure as code to manage their systems, it is becoming increasingly important to ensure the quality of not just the product, but the entire user experience. In order to do this effectively, testing teams must look beyond their product to understand and optimize the entire … continue reading
(First of two parts) Several weeks ago, a customer of the Broadcom Service Virtualization solution posed the following question: “Now that we’re moving to the cloud, do we still need Service Virtualization?” The question struck me as odd. My sense is that this confusion probably stemmed from the misperception that, since cloud environments can be … continue reading
Everybody cares about software quality (or they ought to, at least), but it’s easier said than done. Lots of factors can cause software to fail, from tools and systems not integrating well to people not communicating well. According to ConnectALL, improving value stream flow can help with these communication breakdowns, tool integration can improve quality … continue reading
We asked these tool providers to share more information on how their solutions help companies with automated testing. Their responses are below. Matt Klassen, CMO, Parasoft Quality continues to be the primary metric for measuring the success of software deliveries. With the continued pressure to release software faster and with fewer defects, it’s not just … continue reading
The following is a listing of automated testing tool providers, along with a brief description of their offerings. Keysight Technologies Eggplant Digital Automation Intelligence (DAI) platform is the first AI-driven test automation solution with unique capabilities that make the testing process faster and easier. With DAI, you can automate 95% of activities, including test-case design, … continue reading
Getting one’s hands on automated tests for the first time is like being given the keys to a Ferrari. And YouTube is chock-full of videos on what happens when someone gets too comfortable too soon in a Ferrari. Automated tests are fast, but only in the direction that you point them to. And having a … continue reading