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Conference Paper: A cloud-based framework for applying metamorphic testing to a bioinformatics pipeline

TitleA cloud-based framework for applying metamorphic testing to a bioinformatics pipeline
Authors
Troup, MichaelYang, AndrianKamali, Amir HosseinGiannoulatou, EleniChen, Tsong YuehHo, Joshua W.K.
Keywordsmetamorphic testing
cloud computing
Bioinformatics
Issue Date2016
Citation
Proceedings - International Conference on Software Engineering, 2016, v. 16, p. 33-36 How to Cite?
DOI: http://dx.doi.org/10.1145/2896971.2896975
Abstract© 2016 ACM. Testing of bioinformatics software often suffers from the oracle problem, especially when testing software that analyses human genome sequencing data. Metamorphic testing has been proposed to alleviate the oracle problem. Nonetheless, smaller research or clinical centres may be challenged by the complexity and resources required to implement a suitable metamorphic testing framework in practice. This paper presents a case study on how a cloud-based metamorphic testing framework can be applied to a widely used genomic sequencing pipeline, and discusses the future of implementing large-scale on-demand automated metamorphic testing using cloud-based resources.
Persistent Identifierhttp://hdl.handle.net/10722/262729
ISSN
0270-5257
2023 SCImago Journal Rankings: 1.409
ISI Accession Number ID
WOS:000393169000006

 

DC FieldValueLanguage
dc.contributor.authorTroup, Michael-
dc.contributor.authorYang, Andrian-
dc.contributor.authorKamali, Amir Hossein-
dc.contributor.authorGiannoulatou, Eleni-
dc.contributor.authorChen, Tsong Yueh-
dc.contributor.authorHo, Joshua W.K.-
dc.date.accessioned2018-10-08T02:46:52Z-
dc.date.available2018-10-08T02:46:52Z-
dc.date.issued2016-
dc.identifier.citationProceedings - International Conference on Software Engineering, 2016, v. 16, p. 33-36-
dc.identifier.issn0270-5257-
dc.identifier.urihttp://hdl.handle.net/10722/262729-
dc.description.abstract© 2016 ACM. Testing of bioinformatics software often suffers from the oracle problem, especially when testing software that analyses human genome sequencing data. Metamorphic testing has been proposed to alleviate the oracle problem. Nonetheless, smaller research or clinical centres may be challenged by the complexity and resources required to implement a suitable metamorphic testing framework in practice. This paper presents a case study on how a cloud-based metamorphic testing framework can be applied to a widely used genomic sequencing pipeline, and discusses the future of implementing large-scale on-demand automated metamorphic testing using cloud-based resources.-
dc.languageeng-
dc.relation.ispartofProceedings - International Conference on Software Engineering-
dc.subjectmetamorphic testing-
dc.subjectcloud computing-
dc.subjectBioinformatics-
dc.titleA cloud-based framework for applying metamorphic testing to a bioinformatics pipeline-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/2896971.2896975-
dc.identifier.scopuseid_2-s2.0-85011028203-
dc.identifier.volume16-
dc.identifier.spage33-
dc.identifier.epage36-
dc.identifier.isiWOS:000393169000006-
dc.identifier.issnl0270-5257-

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