Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6735
Title: Effort estimation for agile software development: Comparative case studies using COSMIC functional size measurement and story points
Authors: Salmanoğlu, Murat
Hacaloğlu, Tuna
Demirörs, Onur
Keywords: COSMIC
Effort estimation
Functional size measurement
Story points
Software design
Issue Date: 2017
Publisher: Association for Computing Machinery (ACM)
Source: Salmanoğlu, 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:10.1145/3143434.3143450
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.
Description: 27th 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 2017
URI: http://doi.org/10.1145/3143434.3143450
http://hdl.handle.net/11147/6735
ISBN: 978-145034853-9
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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