Risk Prediction in Software Engineering: A Multi-Class Based Approach with FEPP
Year: 2025
Type: article
Abstract: Accurate risk prediction plays a crucial role in the successful execution of software projects by identifying potential threats and weaknesses early in the development process. This paper introduces an innovative multi-class, role-specific strategy for predicting risks in software engineering, incorporating Feature Extraction and Prioritization Paradigm (FEPP) to improve the precision and efficiency of risk detection. The model is specifically tailored to handle complex risk patterns associated with various team roles such as developers, testers, and project managers. Through this methodology, the system aims to support proactive risk mitigation, ensuring better project outcomes.
Author: M Venkata Ramana
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911907736
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