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

Root Cause Analysis in Software Testing: Methods, Techniques, and How AI Is Changing the Game

If you've ever fixed a bug only to watch it come back two weeks later, you already understand why root cause analysis matters. Patching symptoms feels productive - it's not. Getting to the actual cause is what prevents the same issue from eating your team's time over and over again. This guide covers everything you need to know about root cause analysis (RCA) in software testing: what it is, how to do it, which tools help, and where AI is taking it next.

WireMock vs MockServer vs Proxymock: Java Mocking in 2026

Your WireMock stubs are lying to you. They were accurate when someone wrote them six months ago, but the payment API added a metadata field in January, the inventory service switched from REST to gRPC in February, and nobody updated the stubs because the tests still pass. Meanwhile, production is breaking in ways your mocks will never catch. This is not a WireMock problem. It is a hand-written mock problem.

Vulnerability Scanning vs. Penetration Testing: Know the Difference

Cyber security isn't a one-size-fits-all solution, and for many UK business owners, the terminology can feel overwhelming. Identifying the right way to protect digital assets is essential to maintaining a strong security posture. Two of the most common methods for assessing risk are vulnerability scanning and penetration testing, but they serve very different purposes.

Deterministic Simulation Testing in Diskless Apache Kafka

Aiven put Diskless Kafka through 2,200 logical hours of chaos testing using Antithesis. Here's how it held up. Testing is a necessary pillar in any software development lifecycle. At the same time, it's a fundamentally incomplete process - a cat-and-mouse game. You can't test what you can't imagine and distributed systems have a nasty habit of producing failures that no one on the team imagined.

Spring Boot API Testing: A Practical Guide for Enterprise Teams

Enterprise Spring Boot APIs should be tested at three levels: unit tests for business logic, integration tests for external service behavior, and traffic replay for production edge cases. Most teams only do the first. This guide shows all three using a real Spring Boot application that calls external APIs (SpaceX, US Treasury) with JWT authentication. The kind of service that looks simple in development and breaks in production.

The Rise of Technical Virtual Assistants: QA Testing, Documentation, and DevOps Support in 2026

Virtual assistants are no longer just handling emails and scheduling meetings. In 2026, a growing number of tech companies are outsourcing QA testing, technical documentation, project coordination, and even DevOps support tasks to skilled virtual assistants - at 60-70% less than hiring equivalent local talent.

Identify untested code across every level of your codebase

As organizations scale their services and adopt AI-assisted coding, code changes are landing faster and in greater volume than ever before. While this powerful new practice is accelerating the pace of development, it is also increasing the likelihood that untested code may slip into repositories without detection. What makes this problem even worse is that most teams have no reliable way to know which code is covered by tests.

AI-Driven Automated Testing for Oracle Applications

As enterprises continue to change rapidly, businesses depend on Oracle-based ecosystems to track their finances, supply chains, HR, and customer operations. With the increase of digital transformation in companies, these environments continue to become more complex. As a result, manual testing is no longer enough for maintaining pace with ongoing updates, integrations and customizations that occur within an organization's systems. This is where AI-powered automated testing for Oracle applications revolutionizes how quality assurance is approached.

The 6 Best Performance Testing Tools Guide

In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.