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المؤلفAltamimi, Emran
المؤلفElkawakjy, Abdullah
المؤلفCatal, Cagatay
تاريخ الإتاحة2022-11-30T11:23:18Z
تاريخ النشر2022
اسم المنشورJournal of Software: Evolution and Process
المصدرScopus
المصدر2-s2.0-85138008319
معرّف المصادر الموحدhttp://dx.doi.org/10.1002/smr.2509
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36774
الملخصMetamorphic testing addresses the issue of the oracle problem by comparing results transformation from multiple test executions. The relationship that governs the output transformation is called metamorphic relation. Metamorphic relations require expert knowledge and the generation of them is considered a time-consuming task. Researchers have proposed various techniques to automate metamorphic testing, generation, and selection. Although there are several research articles on this issue, there is a lack of overview of the state-of-the-art of metamorphic relation automation. As such, we performed a systematic literature review study to collect, extract, and synthesize the required data. Based on our research questions, the literature was categorized and summarized into different categories. We found that the automation of metamorphic relation is most effective in mathematical and scientific applications. We concluded that some approaches involve analysis of different forms of software-related information such as control flow graph and program dependence graph as well as an initial set of metamorphic relations. On the other hand, other methods involve analysis of executions of the software functions with random and specific inputs. The results show that this field is still in its infancy with opportunities for novel work, especially in methods utilizing machine learning. 2022 The Authors. Journal of Software: Evolution and Process published by John Wiley & Sons Ltd.
راعي المشروعThis publication is supported in part by grant NPRP12C?33905?SP?66 and from the Qatar National Research Fund. The findings achieved herein are solely the responsibility of the authors. Open Access funding provided by the Qatar National Library.
اللغةen
الناشرJohn Wiley and Sons Ltd
الموضوعautomation; machine learning; metamorphic relations; metamorphic testing
العنوانMetamorphic relation automation: Rationale, challenges, and solution directions
النوعArticle Review
dc.accessType Abstract Only


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