Quality Measurements
A key objective of Quality Intelligence is to make software quality more visible and measurable. Not by reducing quality to a single score, but by establishing a data-driven foundation for understanding quality, risks, and the impact of the improvements an organization is working to achieve. This is where Quality Measurements comes in.
In software development, we already measure a wide range of activities, such as the number of tests, defects, releases, and builds. However, more data does not necessarily provide a clearer picture of quality.
Quality Measurements is therefore about selecting the metrics that provide meaningful insights into the level of quality we want to achieve.
Quality IntelligenceA key objective of Quality Intelligence is to make software quality more visible and measurable. Not by reducing quality to a single score, but by establishing a data-driven foundation for understanding quality, risks, and the impact of the improvements an organization is working to achieve. This is where Quality Measurements comes in.
In software development, we already measure a wide range of activities, such as the number of tests, defects, releases, and builds. However, more data does not necessarily provide a clearer picture of quality.
Quality Measurements is therefore about selecting the metrics that provide meaningful insights into the level of quality we want to achieve.
Quality IntelligenceQuality is often assessed by asking questions such as: Have all tests been executed? How many defects have we found? Is the solution ready for release? The answers can be valuable, but they do not necessarily tell the whole story.
For example, a solution may have passed all planned tests and still cause problems in production. Conversely, a high number of defects identified during testing does not necessarily indicate poor quality. It may also be a sign of effective testing.
That is why quality metrics must always be interpreted in context.
What Should We Measure?
The most relevant metrics depend on your digital solution, associated risks, and business objectives. Typical examples of relevant quality metrics include:
A fundamental principle of Quality Intelligence is that we do not attempt to reduce quality to a single, universal score. Software quality is complex. A solution may be stable but deliver a poor user experience. It may have few defects but be difficult to modify. Or it may perform well technically while still presenting significant risks in a single business-critical area. That is why we work with relevant quality metrics that, together, provide a more comprehensive and nuanced picture. The goal is to make it easier to monitor progress, understand risks, and assess the impact of the improvement initiatives that have been implemented.
A fundamental principle of Quality Intelligence is that we do not attempt to reduce quality to a single, universal score. Software quality is complex. A solution may be stable but deliver a poor user experience. It may have few defects but be difficult to modify. Or it may perform well technically while still presenting significant risks in a single business-critical area. That is why we work with relevant quality metrics that, together, provide a more comprehensive and nuanced picture. The goal is to make it easier to monitor progress, understand risks, and assess the impact of the improvement initiatives that have been implemented.
Data only creates real value when it is put to use. That is why we link quality metrics to the objectives and Action Points that have already been defined. This provides a stronger foundation for assessing how software quality is actually evolving. And if the measurements show that progress is moving in a different direction than expected, the organization must be able to respond.
Here, we actively use the measurements to monitor progress, learn from the results, and adjust our efforts accordingly.
Quality Measurements
TestHuset helps you define quality objectives and meaningful metrics that provide a stronger foundation for action and informed decision-making.
Contact us by phone at +45 44 979 979, by email at info@testhuset.dk, or through our contact form.
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