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Podcast Software Testing : Page 4 of 13

Latest Episodes

Conversations with testers, developers, and coaches who work in the field.

Natural Intelligence Tested: Humans Evaluate AI
Natural Intelligence Tested: Humans Evaluate AI

Natural Intelligence Tested: Humans Evaluate AI

Natural intelligence finds bugs no AI would look for, through curiosity, intuition and context. AI unit tests often hit just one equivalence partition.

System Knowledge Catches What AI Misses in Grown Code
System Knowledge Catches What AI Misses in Grown Code

System Knowledge Catches What AI Misses in Grown Code

For software testing, AI pays off in test data and document analysis. In grown systems, testers' system and domain knowledge still catch side effects.

Quality as an Attitude: Making Testing a Team Habit
Quality as an Attitude: Making Testing a Team Habit

Quality as an Attitude: Making Testing a Team Habit

Quality as an attitude beats test case checklists. Good testing needs solid methods, automation and trust in the people who vouch for the results.

Developer Friendliness: Invest Time, Save Time
Developer Friendliness: Invest Time, Save Time

Developer Friendliness: Invest Time, Save Time

Developer friendliness costs time short term, saves it long term and makes teams happier. REST mocks and test interfaces show how it works.

Remote Testing: How External Testers Join Agile Teams
Remote Testing: How External Testers Join Agile Teams

Remote Testing: How External Testers Join Agile Teams

Remote testing works in agile teams when external testers join stand-ups and team chats. Hour quotas and a four-stage process get them going in a week.

Open-Source Software: Four Requirements for Vendors
Open-Source Software: Four Requirements for Vendors

Open-Source Software: Four Requirements for Vendors

Open source compliance starts once you ship software. Vendors need license checks and an S-BOM, which the Cyber Resilience Act makes mandatory.

AI Code Remediation: Two Thirds of the Fixes Work
AI Code Remediation: Two Thirds of the Fixes Work

AI Code Remediation: Two Thirds of the Fixes Work

AI code remediation fixes about two thirds of static analysis findings well. The rest is faulty, and models almost never admit they don't know.