InfoQ Homepage Software Testing Content on InfoQ
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Sauce Labs Launches AI Tool for Faster Test Analysis
Sauce Labs has launched Sauce AI for Insights, an AI-driven tool that accelerates test analysis by providing natural-language explanations, visual summaries and faster root cause detection. The company claims that it reduces debugging time, improves release readiness, and addresses the growing complexity of test data.
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How AI with Prompt Engineering Supports Software Testing
AI is becoming a key QA tool, aiding in faster scenario generation, risk detection, and test planning. Arbaz Surti showed how effective prompting using roles, context, and output format helps to get clear, relevant, and actionable test scenarios. AI can boost testers, but human judgment is needed to ensure relevance and quality.
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How to Enable Testing a Distributed System on a Single Environment Using Proxy Routing
Without a dedicated QA environment, teams faced tech and coordination issues when testing a distributed system. A slow, unmaintainable CLI led an organization to shift left with automated testing. They built a tool for versioned deployments using CI and proxy routing, enabling developers to run isolated tests on multiple versions to catch bugs earlier.
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Using Artificial Intelligence in Software Testing
Quality Assurance Engineers can evolve into artificial intelligence (AI) strategists, guiding AI-driven test execution while focusing on strategic decisions. Rather than replacing testing roles, AI can enhance them by predicting defects, automating test maintenance, and refining risk-based testing. Human-AI collaboration is crucial for maintaining quality in increasingly complex software systems.
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How Airbnb Used LLMs to Accelerate Test Migration
Thanks to the right mix of workflow automation and large language models, Airbnb significantly accelerated the process of updating their codebase to adopt React Testing Library (RTL) and converted nearly 3.5K React test files originally using Enzyme.
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Applying DevOps Principles and Practices as a Quality Assurance Engineer
DevOps streamlines software development with automation and collaboration between development and IT teams for efficient delivery. According to Nedko Hristov, testers' curiosity, adaptability, and willingness to learn make them suited for DevOps. Failures can be approached with a constructive mindset; they provide growth opportunities, leading to improved skills and practices.
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GitLab Introduces Advanced Vulnerability Tracking to Tackle Code Volatility and Double Reporting
GitLab has introduced a new feature that addresses two significant challenges in vulnerability management: code volatility and double reporting. Code volatility refers to the frequent changes in codebases that can reintroduce previously resolved vulnerabilities, while double reporting occurs when multiple security tools identify the same vulnerability.
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Meta Introduces LLM-Powered Tool for Software Testing
Meta has unveiled the Automated Compliance Hardening (ACH) tool, a mutation-guided, LLM-based test generation system. Designed to enhance software reliability and security, ACH generates faults in source code and subsequently creates tests to detect and address these issues.
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How to Use Property-Based Testing as Fuzzy Unit Testing
According to Eivind Jahren, property-based testing is an invaluable tool for its ease of use and effectiveness. It is flexible in what requirements one can formulate and is simple and lightweight enough to put in the hands of software developers to perform iterative testing on a daily basis, less test code is required, and it’s easier to reuse test data generators for complex structured data.
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Exploring AI's Role in Automating Software Testing
QA professionals are increasingly turning to AI to address the growing complexities of software testing. AI-driven automation can improve test coverage, reduce test cycle times, and enhance the accuracy of results, leading to faster software releases with higher quality.
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Swift Testing is a New Framework from Apple to Modernize Testing for Swift across Platforms
While XCTest remains the preferred way to create tests in Xcode, the new Swift Testing framework attempts to introduce an expressive and intuitive API for the definition of tests that applies to all platforms where Swift is supported. The framework also enables parallelizing, categorizing and associating tests with bugs.
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Production Comes First - an Outside-In Approach to Building Microservices by Martin Thwaites
Martin Thwaites, an observability evangelist, developer, and developer advocate at honeycomb.io, presented on Production Comes First - an Outside-In Approach to Building Microservices. The session was part of the "Connecting Systems: APIs, Protocols, Observability" track.
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The Impact of Testing in Software Teams
Communicating quality gaps, holding space for good testing, and writing automation are some of the ways that testers contribute to software teams. According to Maaret Pyhäjärvi, we need to think about testing, not testers. Collaboration and having conversations between team members can result in valuable impact that changes the product and the experiences of our users.
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Netflix Announces SafeTest, Its Custom Approach to Front-End Testing
Moshe Kolodny recently introduced SafeTest, described as a novel approach to front-end web testing. SafeTest orchestrates a test runner, a browser automation library, a UI framework, and dependency injection capabilities to alleviate the pain points of traditional UI testing methods. SafeTest is currently used at Netflix.
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Using ChatGPT for Amplifying Software Testing Practices and Assisting Software Delivery
Artificial intelligence can assist software delivery and be used to automate software testing and optimize project work. Dimitar Panayotov uses ChatGPT to generate test data, create email templates, and produce explanations based on test results. This saves him time that he can invest to become more productive.