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 Higher order mutation testing: Effectiveness and existing problems.
Tác giả hoặc Nhóm tác giả: Do Van Nho; Nguyen Quang Vu; Nguyen Thanh Binh
Nơi đăng: Kỷ yếu Hội nghị Quốc gia lần thứ X về Nghiên cứu cơ bản và ứng dụng Công nghệ thông tin (FAIR); Số: FAIR 2017;Từ->đến trang: 319-329;Năm: 2017
Lĩnh vực: Công nghệ thông tin; Loại: Bài báo khoa học; Thể loại: Trong nước
TÓM TẮT
Mutation testing (also called first order mutation testing) has been introduced as a technique to assess the quality of test cases. It is a highly automated and useful technique for evaluating the fault-finding effectiveness of tests, and many researchers are now involved in mutation testing research. However, there are three main challenges: (1) a large number of mutants (leading to
a very high computational cost); (2) generated mutants can really reflect faults; and (3) equivalent mutant problems. There are many different approaches which have been proposed for overcoming the above-mentioned problems of mutation testing. Each solution has its own advantages and disadvantages. Among them, higher order mutation testing, which was first introduced in 2009,
is the only approach abling to address of the three mutation testing problems, and the only one to deal with the problem of realism of injected defects. In this paper, we consider the effectiveness as well as the development of the methods in area of higher order mutation testing. Based on that, we evaluate the existing problems and discuss the future research directions.
ABSTRACT
Mutation testing (also called first order mutation testing) has been introduced as a technique to assess the quality of test cases. It is a highly automated and useful technique for evaluating the fault-finding effectiveness of tests, and many researchers are now involved in mutation testing research. However, there are three main challenges: (1) a large number of mutants (leading to
a very high computational cost); (2) generated mutants can really reflect faults; and (3) equivalent mutant problems. There are many different approaches which have been proposed for overcoming the above-mentioned problems of mutation testing. Each solution has its own advantages and disadvantages. Among them, higher order mutation testing, which was first introduced in 2009,
is the only approach abling to address of the three mutation testing problems, and the only one to deal with the problem of realism of injected defects. In this paper, we consider the effectiveness as well as the development of the methods in area of higher order mutation testing. Based on that, we evaluate the existing problems and discuss the future research directions.
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