How I systematically improve software quality – my approach as an IT consultant

In many software projects, quality problems do not appear suddenly. They develop gradually. Unclear requirements, lack of transparency in testing and reactive rather than proactive quality assurance mean that risks only become visible late in the process. My approach is specifically designed to prevent that.

I work in five structured steps to make quality measurable, identify risks early and guide projects to a stable go-live.

Every engagement starts with a realistic picture of the current situation. I analyse how requirements are formulated, how testing is set up – manual, automated or mixed –, which tools are in use, and where typical defects or delays occur. The goal is not only to recognise symptoms, but to find the actual root causes.

Typical findings in this phase are often similar: requirements are not formulated in a testable way, test coverage is unclear, and quality is not actively managed but only checked after the fact.

Building on the analysis, I systematically identify weaknesses in the system. I look at business risks such as critical business processes, technical risks such as complex interfaces, and organisational risks such as missing coordination between teams.

Special attention goes to gaps in test coverage, inconsistent requirements and dependencies between systems. The result of this phase is a prioritised overview: what is genuinely critical, and what is not.

Many projects test a lot, but not necessarily in a meaningful way. That is why I develop a test strategy that is risk-based, tailored to the specific project and equipped with clear priorities.

Typical elements include defining test levels such as unit, integration and end-to-end, determining what will be automated and what will not, assigning clear responsibilities and focusing on critical business processes. The goal is not to test more, but to test more deliberately.

Without transparency, there is no way to manage quality actively. I establish measurable indicators such as test coverage per requirement, test execution progress, defect rates and critical defects, and the degree of test automation.

These indicators are visualised in dashboards so that it is always visible where the project stands, where risks exist and what is blocking progress. This makes fact-based decisions possible instead of relying on gut feeling.

Quality is not a one-off project, but a continuous process. I therefore continuously improve requirements, test cases and automation, as well as processes and team collaboration.

What matters here is using feedback from real project situations, working closely with development and the business side, and implementing small but lasting improvements.

Good software quality does not come from running more tests, but from better structure, clear requirements and transparent management. My approach ensures that risks are identified early, quality becomes measurable, teams work more efficiently and releases become more predictable.