International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Invisible Configuration Conflicts Detector Using Machine Learning a Random Forest–Based Intelligent Framework for Software Configuration Conflict Detection |
|---|---|
| ABSTRACT | Managing software configurations has become increasingly challenging as modern systems contain numerous interconnected settings. Incompatible configuration values can create hidden conflicts that negatively affect system performance, reliability, and stability. Identifying these conflicts manually is often difficult because they may not produce immediate errors. This project introduces an Invisible Configuration Conflicts Detector Using Machine Learning, which predicts potential configuration conflicts before they impact the system. The proposed solution employs the Random Forest algorithm to analyze configuration data and classify configurations as either safe or conflicting. A web-based application is developed using Flask, HTML, CSS, and SQLite to provide secure user access and an easy-to-use prediction interface. By automating the conflict detection process, the system minimizes manual effort, improves prediction efficiency, and supports better configuration management. The proposed approach demonstrates how machine learning can assist in maintaining stable and reliable software systems through intelligent conflict prediction. |
| AUTHOR | DR. T.V.S SRIRAM, L.T. PRIYANKA, CH. ANUSHA Sr. Asst. Professor, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India Asst. Professor, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.14060114 |
| pdf/114_Invisible Configuration Conflicts Detector Using Machine Learning a Random Forest–Based Intelligent Framework for Software Configuration Conflict Detection.pdf | |
| KEYWORDS | |
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