Importance of Addressing Complexity Factors to Improve Project Success Rates and the Overall Effectiveness of Software Development
Ajay Jaiswal, Jagdish Raikwal, Pushpa Raikwal · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2025
Software development is a complicated process that is critical to improving technology and promoting business innovation.Project management methodologies, team dynamics, stakeholder participation, technical innovations, and organizational context all impact success.Despite high standards in these areas, many projects encounter difficulties such as missed deadlines or cost constraints.To address these concerns, this study looks at team performance and overall project success in Sri Lanka's fast-growing IT sector.The study used a mixed-method approach to determine complexity features by analyzing quantitative data from the Kitchenham, Maxwell, and Desharnais datasets.To identify essential factors influencing project out-comes, the Lasso feature selection method was applied.Fuzzy logic was utilized to develop and test an ensemble classifier that demonstrated exception-al accuracy, particularly on the Kitchenham dataset, where it achieved the lowest Root Mean Squared Error (0.2707) and the highest R-squared error (0.9308).The findings highlight the importance of addressing complexity factors in order to improve project success rates and overall software development effectiveness, and they propose that sophisticated techniques such as fuzzy logic-based cost estimation can significantly improve the accuracy and reliability of software project predictions.