A Systematic Mapping Study on Software Quality Issues in SCRUM using MATLAB Implementation

This systematic mapping study investigates software quality challenges in Scrum environments through comprehensive analysis of 48 empirical studies published between 2011-2023. The research identifies and categorizes 46 distinct quality issues across eight thematic areas, with Requirement Engineering Challenges (80%), Multi-team Environment Challenges (82%), and Agile Implementation Difficulties (85%) emerging as the most prevalent impediments to software quality. Our analysis reveals that quality issues in Scrum predominantly stem from organizational, procedural, and human factors rather than purely technical considerations. The study contributes a structured taxonomy of quality challenges and develops a MATLAB analytical framework for systematic visualization of challenge patterns, relationships, and temporal trends. Findings indicate that successful quality improvement requires addressing the interconnected nature of these challenges through holistic organizational interventions rather than isolated technical fixes. This research provides practitioners with evidence-based strategies for enhancing software quality in Scrum implementations while offering researchers a replicable methodology for systematic mapping studies.