Effort Estimation for Agile Software Development: Comparative Case Studies Using Cosmic Functional Size Measurement and Story Points

dc.authorscopusid 56166065100
dc.authorscopusid 56422190200
dc.authorscopusid 55949165100
dc.contributor.author Salmanoglu,M.
dc.contributor.author Hacaloglu,T.
dc.contributor.author Demirors,O.
dc.contributor.other Information Systems Engineering
dc.date.accessioned 2024-07-05T15:45:10Z
dc.date.available 2024-07-05T15:45:10Z
dc.date.issued 2017
dc.department Atılım University en_US
dc.department-temp Salmanoglu M., Middle East Technical University, Ankara, Turkey; Hacaloglu T., Atilim University, Ankara, Turkey; Demirors O., Izmir Institute of Technology, Izmir, Turkey, University of New South Wales, Sydney, Australia en_US
dc.description Chalmers University of Technology; Ericsson; et al.; Free University of Bozen-Bolzano; Software Center; University of Gothenburg en_US
dc.description.abstract Agile 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. © 2017 Association for Computing Machinery. en_US
dc.identifier.citationcount 24
dc.identifier.doi 10.1145/3143434.3143450
dc.identifier.endpage 49 en_US
dc.identifier.isbn 978-145034853-9
dc.identifier.scopus 2-s2.0-85038366174
dc.identifier.startpage 41 en_US
dc.identifier.uri https://doi.org/10.1145/3143434.3143450
dc.identifier.uri https://hdl.handle.net/20.500.14411/3851
dc.identifier.volume Part F131936 en_US
dc.institutionauthor Hacaloğlu, Tuna
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartof ACM International Conference Proceeding Series -- 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017 -- 25 October 2017 through 27 October 2017 -- Gothenburg -- 131936 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 38
dc.subject COSMIC en_US
dc.subject Effort estimation en_US
dc.subject Functional size measurement en_US
dc.subject Story points en_US
dc.title Effort Estimation for Agile Software Development: Comparative Case Studies Using Cosmic Functional Size Measurement and Story Points en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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