Optimizing the Defect Prioritization in Enterprise Application Integration

Defect prioritization is one of the key decisions that impacts the quality, cost, and schedule of any software development project. There are multiple attributes of defects that drive the decision of defect prioritization. Generally in practice, the defects are prioritized subjectively based on few attributes of defects like severity or business priority. This assignment of defect priority does not consider other critical attributes of the defect. There is a need of a framework that collectively takes into consideration critical attributes of defects and generates the most optimum defect prioritization strategy. In this paper, critical attributes of defects are considered and a new framework based on genetic algorithm for generating optimized defect prioritization is proposed. The results from the experimental execution of the algorithm show the effectiveness of the proposed framework and improvement by 40% in the overall quality of these projects.