A Systematic Literature Review of Test Case Prioritization Technique on Software Product Line Testing

Software product lines (SPL) leverage extensive reuse to enhance quality and competitiveness.However, the inherent high testing risks underscore the need for efficient techniques.Test case prioritization (TCP) emerges as a pivotal strategy for improving defect detection by optimizing the arrangement of test cases, thereby maximizing benefits, particularly when testing is prematurely halted.This paper presents a comprehensive review of the latest TCP techniques, investigating emerging trends, varied approaches, and the associated cost-effectiveness tradeoffs.Through a systematic literature review spanning from 2011 to 2023 and employing specific search terms, this study scrutinizes the existing body of research.The analysis reveals a growing demand for TCP in research over the past five years, accompanied by a positive upsurge in SPL testing trends.TCP proves instrumental in orchestrating test cases from high to low priority levels, facilitating early defect detection and subsequent error resolution.Nonetheless, notable gaps persist in terms of time execution and coverage, prompting ongoing research efforts aimed at enhancing the cost-effectiveness of TCP.While TCP serves as a potent regression technique in software testing, existing approaches stand to benefit from the reordering of test cases and the integration of refined methodologies gleaned from current research endeavors.