Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6735
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dc.contributor.authorSalmanoğlu, Murat-
dc.contributor.authorHacaloğlu, Tuna-
dc.contributor.authorDemirörs, Onur-
dc.date.accessioned2018-01-24T11:05:36Z-
dc.date.available2018-01-24T11:05:36Z-
dc.date.issued2017-
dc.identifier.citationSalmanoğlu, M., Hacaloğlu, T., and Demirörs, O. (2017, October 25-27). Effort estimation for agile software development: Comparative case studies using COSMIC functional size measurement and story points. Paper presented at the Effort estimation for agile software development: Comparative case studies using COSMIC functional size measurement and story points. doi:10.1145/3143434.3143450en_US
dc.identifier.isbn978-145034853-9-
dc.identifier.urihttp://doi.org/10.1145/3143434.3143450-
dc.identifier.urihttp://hdl.handle.net/11147/6735-
dc.description27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017; Gothenburg; Sweden; 25 October 2017 through 27 October 2017en_US
dc.description.abstractAgile methodologies have gained significant popularity among software development organizations during the last decade. Although agile methodologies are regarded as minimizing formal processes, they still utilize an estimation methodology for proper management. Story point is the most common input for agile effort estimation. Story point is an arbitrary measure; it reflects experiences of project participants. On the other hand, functional size is an alternative measure used in practice as an input for effort estimation. In this research, we collect and present the outcomes of three case studies which compared the effectiveness of COSMIC-based and story point based effort estimation in agile context. On selected projects of these organizations, software functional size was measured with COSMIC functional size measurement methodology. Effort prediction models were formed by using COSMIC size and actual effort spent; and the models were tested in terms of their effectiveness. The results show controversial outcomes. For all the cases, COSMIC based estimation was more precise. Therefore, COSMIC is an appropriate measure to estimate the effort in organizations that adopt agile software development. It is also observed that COSMIC allowed for computing productivity which has less disperse distribution than the productivity computed with SP. The data is also provided to help other researchers conduct their own studies.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartof27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurementen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOSMICen_US
dc.subjectEffort estimationen_US
dc.subjectFunctional size measurementen_US
dc.subjectStory pointsen_US
dc.subjectSoftware designen_US
dc.titleEffort estimation for agile software development: Comparative case studies using COSMIC functional size measurement and story pointsen_US
dc.typeConference Objecten_US
dc.authoridTR167231en_US
dc.institutionauthorDemirörs, Onur-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volumePart F131936en_US
dc.identifier.startpage41en_US
dc.identifier.endpage49en_US
dc.identifier.scopus2-s2.0-85038366174en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1145/3143434.3143450-
dc.relation.doi10.1145/3143434.3143450en_US
dc.coverage.doi10.1145/3143434.3143450en_US
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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