Tekin, Nesib, Yilmaz, Murat ORCID: 0000-0002-2446-3224 and Clarke, Paul ORCID: 0000-0002-4487-627X (2021) A novel approach for visualization, monitoring and control techniques for scrum metric planning using the analytic hierarchy process. Journal of Software: Evolution and Process, 35 (8). ISSN 2047-7481
Abstract
Although Scrum is one of the most preferred agile development frameworks that guide the
development process, measuring sprint productivity is still challenging. In fact, it is hard
to provide a continuous measurement during consecutive Scrum sprints, especially selecting the optimal metrics that fit better for real industrial applications. To bridge this gap,
we conducted an industrial case study within the TÜBİTAK SAGE software development
group to demonstrate the performance and applicability of a systematic selection process
for fitting addon components using various scrum metrics tools. Next, we analyzed the
combination of software developers’ preferences of process metrics concerning their characteristics and their defense industry compatibility. Consequently, we assessed the metrics
that might likely integrate into the Scrum development using the Analytic Hierarchy Process. The results indicated that the Actionable Agile Addon scored the highest, followed
by the Screenful Addon. Ultimately, this contemporary study presented a novel approach
that has increased individuals’ participation in metric planning, implementation, and monitoring, therefore moving towards more achievable software development goals.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Additional Information: | Article number: e2420 |
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 Institutes and Centres > Lero: The Irish Software Engineering Research Centre |
Publisher: | Wiley |
Official URL: | https://doi.org/10.1002/smr.2420 |
Copyright Information: | © 2021 Wiley |
Funders: | Science Foundation Ireland Grant 13/RC/2094_2 |
ID Code: | 27883 |
Deposited On: | 25 Oct 2022 11:03 by Thomas Murtagh . Last Modified 21 Sep 2023 14:22 |
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