Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

Importance of Addressing Complexity Factors to Improve Project Success Rates and the Overall Effectiveness of Software Development

Authors
Ajay Jaiswal1, *, Jagdish Raikwal2, Pushpa Raikwal3
1Prestige Institute of Engineering Management and Research, Indore, MP, India
2Institute of Engineering and Technology, Indore, MP, India
3PDPM-IIITDM, Jabalpur, MP, India
*Corresponding author. Email: ajay.jaiswal55555@gmail.com
Corresponding Author
Ajay Jaiswal
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_55How to use a DOI?
Keywords
Software Development; Cost Estimation; Project Factors; and Project Outcomes
Abstract

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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_55How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ajay Jaiswal
AU  - Jagdish Raikwal
AU  - Pushpa Raikwal
PY  - 2025
DA  - 2025/05/26
TI  - Importance of Addressing Complexity Factors to Improve Project Success Rates and the Overall Effectiveness of Software Development
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 734
EP  - 746
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_55
DO  - 10.2991/978-94-6463-716-8_55
ID  - Jaiswal2025
ER  -