@inproceedings{ec6d803911f048cb9032b15258a1356b,
title = "MFTCP: Multiple Factors Based Test Case Prioritization",
abstract = "In software regression testing, reorder the test cases to ensure the modified code does not introduce new effects and keep function right. Traditional coverage-based test case prioritization (TCP) approaches are Total and Additional. These two approaches only use code coverage as the measure to rank the test cases. Several defect prediction-based TCP approaches integrate the defect prediction probability and code coverage with weighting coefficients. However, previous methods need to have a priori knowledge related to defects, which is difficult to obtain. Therefore, we proposed an approach named MFTCP by consider code coverage, defect prediction probability, and lines of code (LoC) with automatic weighting coefficients to rank regression test cases. The experimental results indicate the proposed method is more effective than the baselines, especially in terms of the total strategy.",
keywords = "Code Coverage, Defect Prediction (DP), Software Testing, Test Case Prioritization (TCP)",
author = "Can Cui and Zhi Wang and Shihai Wang and Bin Liu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024 ; Conference date: 01-11-2024 Through 05-11-2024",
year = "2025",
doi = "10.1007/978-981-96-4756-9\_24",
language = "英语",
isbn = "9789819647552",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "309--322",
editor = "Bin Xin and Hongbin Ma and Jinhua She and Weihua Cao",
booktitle = "Computational Intelligence and Industrial Applications - 11th International Symposium, ISCIIA 2024, Proceedings",
address = "德国",
}