Modern Agile Metrics

Modern Agile Metrics: What Should We Measure in Software Quality

There lies a host of factors that define the different ways software quality could go. There has never been a generation that demands a soft spot for quality than this.

Choosing software metrics calls for considerable thought, so as to support the fact that given software meets quality assurance. Here is the kicker; measurements should only be designed as an answer to software requirements.

Modern agile metrics are inundated with less valuable measurement requirements that only provide annoyance to development teams. However, beneath the basic fundamental that working software is one that has accomplished its project requirements; their lies an ostensible important number of complex factors that determine the quality of software.

It is therefore not reasonable to measure the quality of software using a single value.

The shift to the new age testing approach, agile development, has enabled software teams to concentrate on smart delivery of working software in a fast paced environment.

However, the question is how to remain relevant in the testing phase and only ensure we test for the right metrics. Simply, can development teams change the set of quality measurement so as to support safe software development, project community happiness, continuous progress and alert craftsmanship?

This blog posts explains what are relevant modern agile metrics. In short, what exactly should we use to evaluate the productivity of software development teams?


Good code should be easy to adapt to, development teams should find it portable for sharing across development teams and easy to amend. Maintainable code can also be easily adopted into other projects, adapt to constantly dynamic user requirements and maintain cost efficiency. The metrics for measuring software maintainability include; the lines of code and whether they are concise and less. Maintainability index, a compound that takes into account comments ratio, total lines of code and cyclomatic complexity.


High quality should be secure against data and information breaches. Today’s world is coupled by myriad cyber attacks that target user data and private information. Security is an important aspect of software quality that measures how effectively an application’s architecture protects data.

There are two metrics that are taken into account when measuring the security of software. Source code analysis is a metric that helps the development team to process code, double check known security vulnerabilities and ideally carry out penetration testing.

On the other hand, the development team can examine vulnerabilities by type and determine a strategy to prevent certain software defects.


Efficiency takes into account software response under different conditions, such as high load conditions and latency feedback. The efficiency metric also tests how well the software will respond to a given load, using available resources.

Efficiency tests are aimed towards making sure, under no circumstances is the end users frustrated. A metric for measuring efficiency is approached by creating customer proxies to simulate heavy workloads. This way, the team can test for latency and quantify user feedback.


Software reliability measures how software is likely to operate in any condition without failing. Reliability measures the speed of the software to execute instructions, and helps the development team avoid releasing a software version that could easily break down. There are two metrics to measuring software reliability in agile environments. These metrics include; production incidents and cyclomatic complexities.


Automated and manual tests are important while testing the various aspects of software quality. When you keep track of software quality metrics, you are simplifying the process of improving the quality of future releases.