Given the dangerous consequences of system failure, health care leaders must support programs and systems that focus on resiliency and continuity planning to mitigate these hazards.

Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often ...

Flat tensile sample preparation is the first step in obtaining accurate and reliable tensile testing results. This process ...

Bureau Veritas and partners use a novel equivalent interface test specimen and simulation to predict failure load in bonded ...

The Wilcoxon signed-rank test is used to compare two related samples or to check the difference in multiple measurements of the same sample to determine whether there exists a difference in their ...

Key Points FMEA is a flexible methodology for addressing potential failure points and implementing lasting changes. Common ...

SE: Product and technology cycles are accelerating to the point where it may not even be useful to do a post-mortem because ...

The quality of the test is often quantified by the likelihood of a “test escape”, which refers to a defect going undetected.

Next, consider whether your changes could have plausibly caused the failure. For example, if you just updated the README, then there's no way that you could have broken an E2E test. Similarly, PRs ...

Keep this in mind when running a speed test and take measures to mitigate potential speed disruptions. For example, moving closer to the router can help get more accurate results. If possible ...

Unplanned shutdowns can provide partial proof test credits for Safety Instrumented Functions (SIFs), helping optimize ...

Improve user satisfaction and software resilience by prioritising thoughtful error messaging and a good error culture ...