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The latest News and Information on Software Testing and related technologies.

From Siloed Processes to a Culture of Quality: Why It's a CIO's Priority

“Quality First” sounds like it could be a generalised marketing platitude to promise customers everything and nothing. But what happens when a business adopts an aggressive focus on implementing high quality across every level of their organisation? That’s exactly what a quality-first culture entails. More than simply developing great products and services, a quality-first organisation embeds excellence through all their processes.

ISO 27001 vs SOC 2: Which Compliance Framework is Right for You?

Let's be realistic—securing sensitive information is no longer an afterthought in a to-do list. As companies expand and process more client data, securing robust information security compliance has been a necessity. However, since there are so many cybersecurity compliance models available, choosing the right one can be daunting. Two of the biggest household names in the business are ISO 27001 certification and SOC 2 certification.

Diving Deep into Importance of Big Data Testing in 2025

Data is everywhere. Big Data has been mainstream for a while now, yet businesses still struggle to extract its full value. Nevertheless, accumulating huge volumes of data is only the initial phase; the true test lies in interpreting and deriving value from this information. This is where Big Data testing services stand out as the need of the hour.

Observability 2.0-How do we get there? Yes, there is a way to level up: logs. #QATherapyPodcast

Logs have the power to preserve relationships between metrics, giving you deeper insights and a clearer picture of what’s happening in your system. Want to move from Observability 1.0 to 2.0? Start by making your logs work smarter. Watch the full QA Therapy episode to learn more!

4 Reasons Shorter Development Times Increase Revenue

We need these features ASAP… Our competition rolled out this functionality last year… We can’t afford to push it to the next release… Ugh! If you manage an engineering team those sentiments may hit too close to home; we get it. The pressure to accelerate development cycles is real. It’s not just about keeping up – it’s about staying competitive and unlocking faster revenue growth. But how do you move faster without sacrificing quality?

The Cost of a Bad Experience

It’s lunchtime, and you’re trying to complete a purchase, send money from your bank, or order a car to pick you up and bring you back to the office from your phone. But just as you hit confirm – the app freezes, glitches, or shuts down entirely. What should have been a quick and seamless transaction becomes a headache. Like most people, these frustrations can cause you to want to throw your phone and even switch providers.

Smarter AI Adoption

AI promises efficiency, but are we implementing it the right way? @Marcus Merrell shares what’s critical to track AI usage and its impact: “Here’s the prompt I used to get this tool, and here are the changes I made to make it work.” This kind of transparency is non-negotiable. Start small with a group of mixed experience levels to uncover both benefits and risks before scaling. If AI adds overhead without solving core issues, is it truly worth the investment?

What are the Best Metrics for Measuring Test Efficiency?

Software teams are continually being pushed to release faster without breaking things—but speed is irrelevant if you sacrifice quality. The real challenge? Getting your QA process to detect defects early without bursting budgets and testing cycles. That's where test efficiency comes in. While test effectiveness is primarily focused on bug finding, test efficacy is more focused on doing more with less—time, money, or even resources from the team.

Data-testid Attribute for Automation Testing: Why it is Important?

Ever written an automated test, only to have it fail the following day because the 'Submit' button changed its class name? Frustrating, I'm sure. Why are UI tests so flaky and why are selectors so flaky? Testers use CSS classes or IDs. Every time they see them, the class or ID changes every time the developers build the code. It makes automation brittle and long to update, especially due to the deep nesting and dynamic DOM elements. However, what if there was a more efficient way?

Is AI Falling Short of Expectations?

AI tools like Copilot and ChatGPT promised to revolutionize development workflows, but are they delivering or just creating new headaches? The stats speak volumes: 92% of developers say AI increases the blast radius of bad code 67% are spending more time debugging AI-generated code 59% face deployment errors at least half the time when using AI tools So, are we making strides toward innovation or spinning in circles of hype? @Marcus Merrell put it best: “This stuff was supposed to already start paying off by now. So why isn’t it working?”