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 Evaluating Mutation Operator and Test Case Effectiveness by Means of Mutation Testing
Tác giả hoặc Nhóm tác giả: Van-Nho Do, Quang-Vu Nguyen and Thanh-Binh Nguyen
Nơi đăng: Lecture Notes in Computer Science, Springer; Số: 12672;Từ->đến trang: 837-850;Năm: 2021
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Mutation analysis is one of the most popular testing techniques. However, this technique has some drawbacks in terms of time and resource consumption. Higher order mutation has been recently an object of interest by research community for overcoming such issues by reducing the number of equivalent mutants, generated mutants and simulating better realistic faults. In this paper, we focus on two problems for higher-order mutation. The first one is to evaluate the quality of mutation operators as well as generated mutants. The second one is to prioritize test cases by means of capability of killing mutants. We propose the evaluation of mutation operators basing on first-order mutants, and the quality operators are selected to create higher-order mutants. We assess also the quality of each test case and rank the test cases for testing. The results may help developers optimize their resource during planning testing activities.
ABSTRACT
Mutation analysis is one of the most popular testing techniques. However, this technique has some drawbacks in terms of time and resource consumption. Higher order mutation has been recently an object of interest by research community for overcoming such issues by reducing the number of equivalent mutants, generated mutants and simulating better realistic faults. In this paper, we focus on two problems for higher-order mutation. The first one is to evaluate the quality of mutation operators as well as generated mutants. The second one is to prioritize test cases by means of capability of killing mutants. We propose the evaluation of mutation operators basing on first-order mutants, and the quality operators are selected to create higher-order mutants. We assess also the quality of each test case and rank the test cases for testing. The results may help developers optimize their resource during planning testing activities.
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