Requirement Ambiguity Detection Through Structured Review Methods

Abstract

Requirement ambiguity detection is important because unclear, incomplete, or differently interpretable requirements can lead to design errors, coding defects, testing gaps, rework, and project delays. Software requirements often contain vague terms, missing constraints, inconsistent conditions, undefined actors, unclear acceptance criteria, and weak business rules that may be misunderstood by analysts, developers, testers, and clients. Traditional requirement reading may depend on individual judgment, but this approach can miss hidden ambiguity when requirements are reviewed without a structured method. This article focuses on requirement ambiguity detection through structured review methods by examining checklist-based review, peer inspection, stakeholder walkthroughs, glossary verification, scenario analysis, and acceptance criteria validation. The study discusses how structured reviews can identify unclear statements early, improve requirement precision, reduce defect injection, and strengthen communication between technical and non-technical stakeholders. The article concludes that effective ambiguity detection improves requirement quality, reduces downstream rework, supports better test design, and contributes to more reliable software development outcomes.