Metamorphic relation automation: Rationale, challenges, and solution directions
<p dir="ltr">Metamorphic 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...
محفوظ في:
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| مؤلفون آخرون: | , |
| منشور في: |
2022
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إضافة وسم
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| _version_ | 1864513547727273984 |
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| author | Emran Altamimi (21397883) |
| author2 | Abdullah Elkawakjy (21397886) Cagatay Catal (6897842) |
| author2_role | author author |
| author_facet | Emran Altamimi (21397883) Abdullah Elkawakjy (21397886) Cagatay Catal (6897842) |
| author_role | author |
| dc.creator.none.fl_str_mv | Emran Altamimi (21397883) Abdullah Elkawakjy (21397886) Cagatay Catal (6897842) |
| dc.date.none.fl_str_mv | 2022-09-15T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/smr.2509 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Metamorphic_relation_automation_Rationale_challenges_and_solution_directions/29116892 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Machine learning Software engineering automation machine learning metamorphic relations metamorphic testing |
| dc.title.none.fl_str_mv | Metamorphic relation automation: Rationale, challenges, and solution directions |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Metamorphic 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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Software: Evolution and Process<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/smr.2509" target="_blank">https://dx.doi.org/10.1002/smr.2509</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bbed74cc2b08ea473fbfdcc417a57b81 |
| identifier_str_mv | 10.1002/smr.2509 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29116892 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Metamorphic relation automation: Rationale, challenges, and solution directionsEmran Altamimi (21397883)Abdullah Elkawakjy (21397886)Cagatay Catal (6897842)Information and computing sciencesMachine learningSoftware engineeringautomationmachine learningmetamorphic relationsmetamorphic testing<p dir="ltr">Metamorphic 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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Software: Evolution and Process<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/smr.2509" target="_blank">https://dx.doi.org/10.1002/smr.2509</a></p>2022-09-15T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/smr.2509https://figshare.com/articles/journal_contribution/Metamorphic_relation_automation_Rationale_challenges_and_solution_directions/29116892CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291168922022-09-15T09:00:00Z |
| spellingShingle | Metamorphic relation automation: Rationale, challenges, and solution directions Emran Altamimi (21397883) Information and computing sciences Machine learning Software engineering automation machine learning metamorphic relations metamorphic testing |
| status_str | publishedVersion |
| title | Metamorphic relation automation: Rationale, challenges, and solution directions |
| title_full | Metamorphic relation automation: Rationale, challenges, and solution directions |
| title_fullStr | Metamorphic relation automation: Rationale, challenges, and solution directions |
| title_full_unstemmed | Metamorphic relation automation: Rationale, challenges, and solution directions |
| title_short | Metamorphic relation automation: Rationale, challenges, and solution directions |
| title_sort | Metamorphic relation automation: Rationale, challenges, and solution directions |
| topic | Information and computing sciences Machine learning Software engineering automation machine learning metamorphic relations metamorphic testing |