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A systematic mapping study on higher order mutation testing
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DOI：10.1016/j.jss.2019.04.031.png)
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Abstract
En 中文
Context: Higher Order Mutants (HOMs) present some advantages concerning the First-Order Mutants (FOMs). HOMs can better simulate real and subtle faults, reduce the number of generated mutants and test cases, and so on. Objective: In order to characterize the Higher Order Mutation Testing (HOMT) field, this paper presents results of a mapping study, by synthesizing characteristics of the HOMT approaches, HOM generation strategies, evaluation aspects, trends and research opportunities. Method: We followed a research plan to locate, assess, extract and group the outcomes from relevant studies. We found 69 primary studies, which were classified based on dimensions related to aspects of the conducted evaluation, purpose and use of HOMs. Results: Java is the preferred language. Most approaches use Second-Order Mutants (SOMs). We found 50 different techniques used to generate/select HOMs. We observed that from 39 primary studies which apply a strategy, approximate to 49% use search-based techniques. Conclusions: HOMT has been arising interest in the last years. The results herein presented provide researchers the start-of-the-art on HOMT, allowing them to understand existing approaches, and how the HOMs have been used and evaluated. Furthermore, this paper points out open issues and not addressed topics, which require more investigation, discussing trends and research opportunities in the field. (C) 2019 Elsevier Inc. All rights reserved.
Keywords:
Mutation testing
Higher order mutation
Systematic mapping
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