Just as Murphy’s Law predicts, negative testing prepares your software for unexpected failures, ensuring resilience—discover how to implement it effectively.
Negative Testing: Preparing for Murphy’s Law
Browsing Category
Risk Control
27 posts
Predictive Risk Scoring With Machine Learning
Guiding smarter risk decisions with machine learning depends on data quality and model transparency—discover how to unlock its full potential.
Mitigating Third‑Party Library Risks in CI Pipelines
Utilizing proactive dependency management and security checks in CI pipelines helps mitigate third-party library risks, but discovering effective strategies requires further exploration.
The Bow‑Tie Model: Bridging Causes and Consequences
A comprehensive look at the Bow-Tie Model reveals how it effectively bridges causes and consequences, unlocking new insights into risk management strategies.
Sensitivity Analysis: Finding Code That Breaks Easy
Aiming to identify fragile code, sensitivity analysis reveals which inputs cause failures, helping you discover vulnerabilities and improve system resilience.
Risk Burndown Charts: Visualizing Progress to Zero
By visualizing risk reduction progress over time, risk burndown charts help you identify gaps and optimize mitigation strategies—continue reading to master their use.
Chaos Experiments: Measuring System Resilience
Fault injection in chaos experiments reveals your system’s resilience, helping you identify weaknesses and improve stability—discover how to optimize your system’s robustness.
Incident Postmortems: Turning Outages Into Opportunities
Discover how detailed incident postmortems can transform outages into valuable learning experiences that drive improvement and resilience.
Risk‑Adjusted Test Coverage: Smarter Than 100%
Test‑adjusted coverage focuses on critical areas, helping you test smarter—discover how this approach can optimize your testing strategy effectively.
Handling Unknown Unknowns: Building Antifragile QA
Many teams overlook the power of antifragility in QA; discover how embracing unpredictability can turn surprises into strengths.
