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

Metrics That Matter for Agentic Testing

Traditional test metrics like automation %, pass/fail rates, and defect counts don’t reflect the impact of introducing agents into the QA process. This blog explores a new class of KPIs designed to measure how well your virtual test team is performing including Agent Assist Rate, Human Override Rate, Scenario Coverage Delta, and Review Time Saved.

A Complete Guide to Network Security Testing for Enterprises (2025)

‍ In today’s connected world, every enterprise depends on networks- from internal servers and employee devices to cloud platforms and hybrid systems. However, as these networks grow in size and complexity, they become prime targets for cybercriminals. By 2025, cybercrime will cost businesses $10.5 trillion annually, making it one of the most significant economic risks worldwide.

What Is Grey Box Testing? (Techniques & Example)

With software applications growing increasingly complex, the way we test them to guarantee reliability and security must also increase accordingly. Among the many types of testing available, Grey Box Testing stands out as a hybrid method that presents us with a balanced perspective of insights from both black box and white box testing. It doesn`t matter if you’re a developer, QA engineer, or someone new to testing; grey box testing is important to everyone in today’s technological landscape.

Do all testers need to learn how to code so they can automate tests?

Not every tester needs to code. Treat automation as part of a wider testing strategy. Keep business and domain expertise front and center to decide what to test, then choose the approach that fits your team low code, record and playback, or full code. This lets domain experts automate without losing the value of their product knowledge, while coders tackle the complex parts.

Best Practices for Building a Secure FinTech App

‍ Trust is the currency in FinTech - and in 2025, that currency is under siege. Cybercrime is accelerating. Global costs from cyber attacks are projected to hit USD 10.5 trillion annually in 2025, up sharply from about USD 3 trillion in 2015. Meanwhile, in the financial sector where your app may live, the stakes are even higher: the average cost of a data breach in financial services is pegged at USD 6.08 million.

What is BDD?

The term “Behavior Driven Development”, or BDD, is an umbrella term for a wide variety of techniques. The general principles of BDD include reframing tests as descriptions of system behavior – “when I do one thing, I should see this result”. Historically, those descriptions were the output of a computer program. Over time, the uses of BDD shifted toward Gherkin, an English-like but precise language.
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Testing AI Code in CI/CD Made Simple for Developers

Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven't seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI. That cancels out the efficient gains that they get from faster AI code generation.

Best Affordable Test Automation Tools For QA Teams In 2025 [Pricing Comparison]

In our rapidly-changing digital world, companies are always searching for tools to enable automation for testing. Due to the increase in popularity of test automation, it is important to understand the pricing for testing tools. Whether you’re selecting a platform to help you simplify your QA process or determining how much to invest in test automation, pricing is an important factor.

Augmenting Coverage; Not Just Speed

Agentic testing isn’t just about faster execution - it’s about uncovering what’s missing from your test suite. This blog explores a forward-looking model where AI agents help identify gaps in traditional, deterministic systems through techniques like scenario delta detection, data condition surfacing, edge path exploration, and test case obsolescence tracking.