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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | Technical Debt detection in software projects |
| Authors Name: | Siddhant Kashyap , S. Metilda Florence , Shivanshu Singh , Hritik Kumar Sinha |
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IJRTI_202643
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| Published Paper Id: | IJRTI2504239 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This paper presents a machine learning-driven approach to predict and manage technical debt in software projects, contributing to Sustainable Development Goal (SDG) 9 (Industry, Innovation, and Infrastructure) while supporting SDG 12 (Responsible Consumption and Production). The proposed methodology analyzes key factors such as code complexity, code churn, and developer history to identify areas prone to technical debt through static code analysis and historical data. By utilizing datasets such as Git logs, SonarQube metrics, and Jira issue reports, the model predicts the likelihood of technical debt at the code module or file level. Additionally, actionable recommendations such as refactoring, enhancing test coverage, and improving documentation are provided to mitigate technical debt and improve long-term software maintainability. This approach enables early detection of technical debt, optimizing software development practices and ensuring the sustainability of software infrastructures. |
| Keywords: | Technical Debt, Machine Learning, Code Complexity, Static Analysis, Sustainable Development Goals, SonarQube, Jira, Software Maintainability, Git Logs |
| Cite Article: | "Technical Debt detection in software projects", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c133-c139, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504239.pdf |
| Downloads: | 000340 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504239
Registration ID:202643
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c133-c139 Country: Adityapur, Jharkhand, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504239 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504239 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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