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

How can testing integrate into the SDLC to ensure continuous quality without bottlenecks?

Integrating testing into the SDLC is a maturity journey. Start where you are, then move from mostly manual to automation best practices in CI/CD, and finally to pro automation that uses AI and tracks the right metrics. As maturity increases, you ship faster without bottlenecks because tests run in the pipeline and results drive decisions. — Gokul Sridharan, VP of Global Solutions Engineering at Katalon.

MySQL Mocking with Speedscale's Proxymock: A Complete Guide

Testing database-driven applications is notoriously painful. If your app depends on MySQL, you’ve probably spent hours setting up local databases, running migrations, loading data, and then cleaning everything up just to rerun your tests. This repetitive cycle slows development, breaks pipelines, and introduces inconsistency between local and production environments.

Ready or Not, Here Comes CI/CD: Build Systems for an Indie Sensation

In this episode, Stephen Post, Technical Director at VOID Interactive, joins Jase for a deep dive into the technical evolution of Ready or Not, the acclaimed tactical shooter game. Stephen discusses the complexities of expanding their fully remote, globally distributed studio—from a small team of 9 to more than 75—covering key challenges such as: Whether you're a solo developer, technical lead, or project manager, this episode offers a candid and practical look at what it takes to scale a game—and a studio—without compromising on quality or agility.

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.

Designing Your Virtual Test Team

As organizations explore more advanced uses of agentic testing, a compelling vision emerges: a modular virtual test team composed of AI agents, each playing a focused role like Test Architect, Test Designer, Executor, and Summary Agent. While still early in real-world adoption, this model offers a way to coordinate intelligence at scale, with humans guiding the system and autonomy granted based on task risk and maturity.

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.