Over the past decade, testing software has gone through a remarkable transformation. The advent of prompt engineering-the art of writing effective prompts for AI language models-is pushing the field of software testing to exciting new frontiers. In this article, we examine how prompt engineering is transforming testing. We also discuss how you can integrate these newer testing approaches into your organization.
In today’s fast-paced and competitive business landscape, enterprises must ensure their software applications are reliable, scalable, and performant. A robust enterprise testing strategy is crucial to achieving these goals, ensuring that software meets quality standards before it reaches end-users. This article explores the key components of an effective enterprise testing strategy, the benefits of implementing such a strategy, and best practices for maintaining it.
QA Wolf has announced a US$36 million Series B financing round to accelerate its expansion into native mobile testing, which is set to launch later this year and is now open for waitlist. The investment is led by Scale Venture Partners with participation from Threshold Ventures and Ventureforgood, and existing investors Inspired Capital and Notation Capital.
The book Evolutionary architecture talks about how software architecture needs to keep evolving with the changes to business priorities and the tech landscape changes, with fitness functions guiding the evolution. The same concept shall and should be applied to the software testing strategy which is what I coin as Evolutionary testing strategy.
Tricentis has announced the acquisition of SeaLights, a SaaS-based, software quality intelligence platform. SeaLights further increases Tricentis’ market leadership in quality intelligence by adding expanded capabilities for visibility and insights into code and tests throughout the continuous integration and continuous deployment (CI/CD) pipeline.
In the modern day, software development process is not simply a measure; it is a mandate. Due to the growth in the size and intricacy of software applications, old-school testing techniques may prove inadequate. AI testing is where it is at, the new approach that leverages artificial intelligence.
In the ever-evolving landscape of software development, ensuring the security, reliability, and quality of software products is paramount. One critical aspect of this process is Software Composition Analysis (SCA), which plays a vital role in software testing and quality assurance.
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