New, game-changing technologies have emerged in the ever-changing field of software engineering as a result of the relentless search for efficiency and creativity. Platform engineering, AI coding assistants, and AI-augmented software engineering (AIASE) are predicted to achieve widespread acceptance in the next 2-5 years, according to the Gartner, Inc. Hype Cycle for Software Engineering, 2023. When it comes to Quality Assurance, software testing is one area where Chat GPT is predicted to thrive.

Models may be used to create tests in a variety of ways. Because testing is typically exploratory and reliant on heuristics, there is no one optimum strategy for test generation. It is usual practice to group all test derivation parameters into a package known as"test requirements,".

Software quality metrics are essential tools that may help you understand and improve many different areas of a testing project if you are in charge of new software development and want to know how to arrange everything properly and evaluate the product's quality before release. A set of performance indicators used to assess the quality of a software product is known as s oftware quality metrics, which indicate what is happening throughout the project by presenting all parts of the process with data.

"I always loved web development... working with eSports teams, and making websites," Nathan recalls, thinking back to a childhood filled with online adventures in a tech-savvy family.

Ourside was not just another job for Sergio. Here, he navigated the intricate terrains of e-commerce platforms, radio stations, and even a biodiversity mapping system. With each project, he pushed boundaries and explored new horizons.“It amazed me how code could have such a tangible impact, from assisting shoppers online to aiding farmers in Ireland,” Sergio reflects.

Not all heroes in the tech world write code. Some wield the power of data analytics and SEO to create compelling stories and foster brand growth. This week, our Monday Member Spotlight features Jose, TestQuality’s Marketing Assistant with years of specialized experience in Google Analytics and SEO. Let's explore how he takes a data-driven approach to spread the word about TestQuality.

While AI and machine learning have been industry buzzwords for a while, they are now becoming fundamental to software testing. Machine learning algorithms are making it easier to sift through logs, identify patterns, and even predict where bugs are most likely to occur. As these technologies mature, the role of AI in software testing will undoubtedly expand.

Cristian laughs when we call him a software developer with a ‘testing mindset.’“Well, I see software testing as an integral part of development. We build; therefore, we test. Simple as that,” he says. This seems straightforward, but in his eyes, it's a philosophy that too many skip over.

Agile was once the high school cool kid that everyone either wanted to be or be with. Now, it’s the valedictorian leading the software development class. DevOps didn’t just join the party; it became the DJ, setting the tempo for developers and testers alike. The good ol' days of ‘Us vs. Them’ are so yesteryear.

BDD (Behavior Driven Development) strives to communicate clearly whenever any stakeholder's understanding of the desired system changes and attempts to have stakeholders in diverse positions interacting smoothly in parallel to maintain a near-constant grasp of the intended system behavior. If that understanding has been misaligned, it should be updated, or it should be synthesized with a new understanding of the intended system. This ensures that all stakeholders are pulling in the same direction.