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Visualization, monitoring and control techniques for use in scrum software development: an analytic hierarchy process approach

Tekin, Nesib, Kosa, Mehmet, Yilmaz, Murat orcid logoORCID: 0000-0002-2446-3224 and Clarke, Paul orcid logoORCID: 0000-0002-4487-627X (2020) Visualization, monitoring and control techniques for use in scrum software development: an analytic hierarchy process approach. In: European Conference on Software Process Improvement (EuroSPI 2020), 9–11 Sept 2020, Düsseldorf, Germany. ISBN 978-3-030-56440-7

Abstract
Scrum is the most widely used agile development framework that guides the development process with its ability to create customervalued software artifacts iteratively and incrementally, whilst seeking best practices to provide continuous measurement during production. However, measuring success in Scrum can be a challenging endeavor. In particular, it is hard to select the best fitting agile metrics during consecutive Scrum sprints. The goal of this industrial case study was to utilize a systematic selection process for identifying the appropriate scrum metrics tools addon component within the T¨UB˙ITAK SAGE software development group. Moreover, the distribution of software developers’ preferences of process metrics were analyzed according to their characteristic features and defense industry structure, and are presented using various distribution charts. Finally, alternatives to the software development process measurement component, which was integrated into the agile software process tool employed by the T¨UB˙ITAK SAGE software development group, were efficiently determined by using the Analytic Hierarchy Process approach. Among the options discussed, our results suggest that the Actionable Agile Addon scored the highest followed by the Screenful Addon. The present study presents a rigorous approach that ultimately have improved community participation in metric planning, implementation and monitoring, thus moving towards sustainable software development goals
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Software Measurement Component; Software Process Metrics Tool; Scrum; AHP; Software Component Selection; industrial case study.
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Published in: EuroSPI 2020: Systems, Software and Services Process Improvement. Communications in Computer and Information Science (CCIS) 1251. Springer. ISBN 978-3-030-56440-7
Publisher:Springer
Official URL:https://dx.doi.org/10.1007/978-3-030-56441-4_4
Copyright Information:© 2022 Springer
Funders:Turkish Defense Industries Research and Development Institute– TUBİTAK SAGE
ID Code:27882
Deposited On:21 Oct 2022 16:14 by Thomas Murtagh . Last Modified 21 Oct 2022 16:14
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