By leveraging AI-driven insights and real-time automation, it’s possible to proactively identify risks, eliminate bottlenecks ...

Software Quality, Processes and Metrics Publication Trend The graph below shows the total number of publications each year in Software Quality, Processes and Metrics.

Beyond Numbers First, determining a universal standard for these metrics is elusive. Different stakeholders have their own ways of assessing IDV software quality and accuracy.

MOUNTAIN VIEW, Calif., July 23, 2018 (GLOBE NEWSWIRE) -- Results from new Forrester Consulting research reveal the 20 most important Agile and DevOps quality metrics that separate DevOps/Agile ...

Quality metrics are an objective, verifiable number. Unlike subjective data, the number is both quantifiable and can be confirmed. The potential downside to quality metrics is that the data may be ...

Software quality is challenging to measure objectively, but this is unnecessary as the team defines the metrics for itself. Still, the challenge with daily business arises.

This paper adapts the Taguchi larger-the-best loss function to software quality metrics like Mean Time Between Failure (MTBF). Software metrics like MTBF have a desired (target) value of infinity and ...

The Consortium for IT Software Quality (CISQ) has created standard measures for quality characteristics in software – reliability, security, performance efficiency and maintainability.

The quality of any software application depends mainly on the extent of coupling in the application. Hence it is imperative that you measure the degree of coupling between the components of your ...