File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1145/2896971.2896975
- Scopus: eid_2-s2.0-85011028203
- WOS: WOS:000393169000006
- Find via
Supplementary
- Citations:
- Appears in Collections:
Conference Paper: A cloud-based framework for applying metamorphic testing to a bioinformatics pipeline
Title | A cloud-based framework for applying metamorphic testing to a bioinformatics pipeline |
---|---|
Authors | |
Keywords | metamorphic testing cloud computing Bioinformatics |
Issue Date | 2016 |
Citation | Proceedings - International Conference on Software Engineering, 2016, v. 16, p. 33-36 How to Cite? |
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 Identifier | http://hdl.handle.net/10722/262729 |
ISSN | 2023 SCImago Journal Rankings: 1.409 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Troup, Michael | - |
dc.contributor.author | Yang, Andrian | - |
dc.contributor.author | Kamali, Amir Hossein | - |
dc.contributor.author | Giannoulatou, Eleni | - |
dc.contributor.author | Chen, Tsong Yueh | - |
dc.contributor.author | Ho, Joshua W.K. | - |
dc.date.accessioned | 2018-10-08T02:46:52Z | - |
dc.date.available | 2018-10-08T02:46:52Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Proceedings - International Conference on Software Engineering, 2016, v. 16, p. 33-36 | - |
dc.identifier.issn | 0270-5257 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | Proceedings - International Conference on Software Engineering | - |
dc.subject | metamorphic testing | - |
dc.subject | cloud computing | - |
dc.subject | Bioinformatics | - |
dc.title | A cloud-based framework for applying metamorphic testing to a bioinformatics pipeline | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/2896971.2896975 | - |
dc.identifier.scopus | eid_2-s2.0-85011028203 | - |
dc.identifier.volume | 16 | - |
dc.identifier.spage | 33 | - |
dc.identifier.epage | 36 | - |
dc.identifier.isi | WOS:000393169000006 | - |
dc.identifier.issnl | 0270-5257 | - |