Qualitative Analysis as a Metric for Software Quality Measurement

Qualitative analysis is also a form of measurement, complementing quantitative analysis by evaluating abstract characteristics such as meaning and impact, as defined by Wikipedia. After quantitative metrics reveal phenomena like defect spikes or slowing iteration speed, qualitative analysis digs deeper to uncover root causes and drive quality improvement.

The article reviews the full lifecycle of qualitative analysis, emphasizing that regardless of development stage, teams can apply qualitative techniques to quickly assess software quality even when comprehensive quantitative data is unavailable.

Five primary qualitative methods are presented:

Interviews : the simplest, low‑cost approach, split into internal (team leads, Scrum Masters) and external (project managers, business analysts) sessions to gather stakeholder feedback.

Root‑cause analysis : investigates observable issues (e.g., recurring defects, frequent rollbacks) using techniques like the 5‑Why method, focusing on preventing defect introduction rather than merely preventing escape.

Maturity assessment : leverages quantitative results to make qualitative judgments about a team’s quality maturity across multiple dimensions, guiding continuous improvement.

Reviews : periodic retrospectives after iterations, quarters, or releases to summarize successes, identify improvement items, and assign owners with deadlines.

Post‑mortems : comprehensive analyses of major incidents that combine interviews, root‑cause analysis, and reviews to capture lessons and ensure follow‑up.

Examples illustrate how different 5‑Why pathways can lead to distinct improvement actions, highlighting the value of analyzing defect introduction over defect escape.

The article concludes that qualitative analysis results significantly contribute to overall quality improvement, become part of an organization’s process assets, and help foster a lasting quality culture.