Fuzzy Inference System for Test Case Prioritization in Software Testing

• URL: http://arxiv.org/abs/2404.16395v1
• Date: Thu, 25 Apr 2024 08:08:54 GMT
• Title: Fuzzy Inference System for Test Case Prioritization in Software Testing
• Authors: Aron Karatayev, Anna Ogorodova, Pakizar Shamoi,
• Abstract summary: Test case prioritization ( TCP) is a vital strategy to enhance testing efficiency. This paper introduces a novel fuzzy logic-based approach to automate TCP.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the realm of software development, testing is crucial for ensuring software quality and adherence to requirements. However, it can be time-consuming and resource-intensive, especially when dealing with large and complex software systems. Test case prioritization (TCP) is a vital strategy to enhance testing efficiency by identifying the most critical test cases for early execution. This paper introduces a novel fuzzy logic-based approach to automate TCP, using fuzzy linguistic variables and expert-derived fuzzy rules to establish a link between test case characteristics and their prioritization. Our methodology utilizes two fuzzy variables - failure rate and execution time - alongside two crisp parameters: Prerequisite Test Case and Recently Updated Flag. Our findings demonstrate the proposed system capacity to rank test cases effectively through experimental validation on a real-world software system. The results affirm the practical applicability of our approach in optimizing the TCP and reducing the resource intensity of software testing.

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