An Event-Driven Framework for Behaviour-Based Regression Testing Using Reinforcement Learning in Complex Software System

Document Type : Original Article

Authors

1 Department of Computer Engineering, Arv.C., Islamic Azad University, Abadan, Iran. Email: Ma.nooraei@iau.ac.ir

2 Msc, Department of Computer Engineering, Arv.C., Islamic Azad University, Abadan, Iran. Email: hosseinshidelzade77@gmail.com

Abstract

In modern software systems characterized by high complexity and dynamic behavior, behavior-based regression testing plays a crucial role in ensuring reliability following system modifications. This paper presents a novel event-driven framework for behavior-oriented regression testing that leverages reinforcement learning to optimize test selection. The proposed architecture models the system's behavior as sequences of events extracted from logs and interactions, enabling a learning agent to derive effective policies for identifying behavioral anomalies and regressions based on environmental feedback. The framework is implemented within a simulated environment, and experimental results demonstrate its superiority over traditional approaches by reducing test costs and improving the precision of critical regression detection. This study introduces an innovative approach to automated software testing and highlights the role of reinforcement learning in enhancing the quality and stability of complex systems.

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References

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Engineering Management and Soft Computing

Articles in Press, Accepted Manuscript
Available Online from 01 December 2025

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