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Actionable software metrics: An industrial perspective
dc.contributor.author | Ram, Prabhat |
dc.contributor.author | Rodríguez, Pilar |
dc.contributor.author | Oivo, Markku |
dc.contributor.author | Martínez Fernández, Silverio Juan |
dc.contributor.author | Bagnato, Alessandra |
dc.contributor.author | Choras, Michal |
dc.contributor.author | Kozik, Rafal |
dc.contributor.author | Aaramaa, Sanja |
dc.contributor.author | Ahola, Milla |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2021-01-28T14:07:33Z |
dc.date.available | 2021-01-28T14:07:33Z |
dc.date.issued | 2020 |
dc.identifier.citation | Ram, P. [et al.]. Actionable software metrics: An industrial perspective. A: International Conference on Evaluation and Assessment in Software Engineering. "Proceedings of EASE 2020, Evaluation and Assessment in Software Engineering: April 15-17, 2020, Norwegian University of Science and Technology, Norway". New York: Association for Computing Machinery (ACM), 2020, p. 240-249. ISBN 978-1-4503-7731-7. DOI 10.1145/3383219.3383244. |
dc.identifier.isbn | 978-1-4503-7731-7 |
dc.identifier.uri | http://hdl.handle.net/2117/336176 |
dc.description.abstract | Background: Practitioners would like to take action based on software metrics, as long as they find them reliable. Existing literature explores how metrics can be made reliable, but remains unclear if there are other conditions necessary for a metric to be actionable. Context & Method: In the context of a European H2020 Project, we conducted a multiple case study to study metrics’ use in four companies, and identified instances where these metrics influenced actions. We used an online questionnaire to enquire about the project participants’ views on actionable metrics. Next ,we invited one participant from each company to elaborate on the identified metrics’ use for taking actions and the questionnaire responses (N=17). Result:We learned that a metric that is practical, contextual, and exhibits high data quality characteristics is actionable. Even a non-actionable metric can be useful, but an actionable metric mostly requires interpretation. However, the more these metrics are simple and reflect the software development context accurately, the less interpretation required to infer actionable information from the metric. Company size and project characteristics can also influence the type of metric that can be actionable. Conclusion: This exploration of industry’s views on actionable metrics help characterize actionable metrics in practical terms. This awareness of what characteristics constitute an actionablemetric can facilitate theirdefinition and developmentright from the start of a software metrics program |
dc.description.sponsorship | This work is a result of the Q-Rapids Project, funded by the European Union’s Horizon 2020 research and innovation program, under grant agreement No. 732253. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Computer software -- Quality control |
dc.subject.other | Actionable metrics |
dc.subject.other | Data quality |
dc.subject.other | Context |
dc.subject.other | Metrics program |
dc.title | Actionable software metrics: An industrial perspective |
dc.type | Conference report |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Programari -- Control de qualitat |
dc.contributor.group | Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
dc.identifier.doi | 10.1145/3383219.3383244 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3383219.3383244 |
dc.rights.access | Open Access |
local.identifier.drac | 30383387 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS |
local.citation.author | Ram, P.; Rodríguez, P.; Oivo, M.; Martínez-Fernández, S.; Bagnato, A.; Choras, M.; Kozik, R.; Aaramaa, S.; Ahola, M. |
local.citation.contributor | International Conference on Evaluation and Assessment in Software Engineering |
local.citation.pubplace | New York |
local.citation.publicationName | Proceedings of EASE 2020, Evaluation and Assessment in Software Engineering: April 15-17, 2020, Norwegian University of Science and Technology, Norway |
local.citation.startingPage | 240 |
local.citation.endingPage | 249 |