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Collecting Data from Continuous Practices: an Infrastructure to Support Team Development

2019-07-10Comunicação em conferência Acesso aberto
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dc.contributor.authorNogueira, Ana Filipa
dc.contributor.authorSergeant, Emilien
dc.contributor.authorCraske, Antoine
dc.contributor.authorRibeiro, José Carlos Bregieiro
dc.contributor.authorZenha-Rela, Mário
dc.date.accessioned2026-07-08T13:49:39Z
dc.date.available2026-07-08T13:49:39Z
dc.date.issued2019-07-10
dc.description.abstractThrough software analytics, raw data with low value originates information that is valuable and able to provide insights, enabling the support of claims that would otherwise not be possible to verify. The software development ecosystem has plenty of sources that can help understanding the quality of processes and products but, to reach that goal, it is necessary to collect and store the data. This paper describes an infrastructure to allow the collection, storage and analysis of data from software repositories. The scope of the research is an industrial case study, which encompasses several specificities: tools and work methodology. The current solution is able to collect information from the continuous delivery & deployment pipeline, which includes data sources such as the source code repository (SVN), the static analysis tool (SonarQube), the continuous integration server (from Jenkins jobs) and the continuous testing tool (an in-house tool called Cerberus). Future work also includes the implementation of components that will allow the collection of unstructured data from the bug-tracking system and incident management tool. As stated in the literature, correlating the history of issues and incidents will allow the team to address, or at least identify, areas of improvement.eng
dc.identifier.citationNogueira, Ana Filipa & Sergeant, Emilien & Craske, Antoine & Ribeiro, José & Zenha-Rela, Mário. (2019). Collecting Data from Continuous Practices: an Infrastructure to Support Team Development. 687-692. 10.18293/SEKE2019-192.
dc.identifier.doi10.18293/seke2019-192
dc.identifier.issn2325-9000
dc.identifier.urihttp://hdl.handle.net/10400.8/16563
dc.language.isoeng
dc.peerreviewedyes
dc.publisherKSI Research Inc. and Knowledge Systems Institute Graduate School
dc.relation.hasversionhttps://ksiresearchorg.ipage.com/seke/seke19paper/
dc.relation.ispartofInternational Conferences on Software Engineering and Knowledge Engineering
dc.relation.ispartofProceedings of the 31st International Conference on Software Engineering and Knowledge Engineering
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCI/CD Pipeline
dc.subjectMining Software Repositories
dc.subjectMachine Learning
dc.subjectSoftware Analytics
dc.subjectSoftware Quality
dc.titleCollecting Data from Continuous Practices: an Infrastructure to Support Team Developmenteng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2019-07
oaire.citation.conferencePlaceCoimbra, Portugal
oaire.citation.endPage692
oaire.citation.startPage687
oaire.citation.titleProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
oaire.citation.volume2019
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRibeiro
person.givenNameJosé
person.identifier662638
person.identifier.ciencia-id0C1B-5E3F-6830
person.identifier.orcid0000-0003-3019-1330
person.identifier.scopus-author-id55947747200
relation.isAuthorOfPublication4ad743c6-5db7-4208-be72-c182c7b0f8ef
relation.isAuthorOfPublication.latestForDiscovery4ad743c6-5db7-4208-be72-c182c7b0f8ef

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