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dc.contributor.authorMartínez Fernández, Silverio Juan
dc.contributor.authorJedlitschka, Andreas
dc.contributor.authorGuzmán, Liliana
dc.contributor.authorVollmer, Anna Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2020-02-20T13:58:44Z
dc.date.available2020-02-20T13:58:44Z
dc.date.issued2018
dc.identifier.citationMartínez-Fernández, S. [et al.]. A quality model for actionable analytics in rapid software development. A: Euromicro Conference on Software Engineering and Advanced Applications. "44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018: 29–31 August 2018, Prague, Czech Republic: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 370-377.
dc.identifier.isbn978-1-5386-7382-9
dc.identifier.otherhttps://arxiv.org/abs/1803.09670
dc.identifier.urihttp://hdl.handle.net/2117/178202
dc.description.abstractAccessing relevant data on the product, process, and usage perspectives of software as well as integrating and analyzing such data is crucial for getting reliable and timely actionable insights aimed at continuously managing software quality in Rapid Software Development (RSD). In this context, several software analytics tools have been developed in recent years. However, there is a lack of explainable software analytics that software practitioners trust. Aims: We aimed at creating a quality model (called Q-Rapids quality model) for actionable analytics in RSD, implementing it, and evaluating its understandability and relevance. Method: We performed workshops at four companies in order to determine relevant metrics as well as product and process factors. We also elicited how these metrics and factors are used and interpreted by practitioners when making decisions in RSD. We specified the Q-Rapids quality model by comparing and integrating the results of the four workshops. Then we implemented the Q-Rapids tool to support the usage of the Q-Rapids quality model as well as the gathering, integration, and analysis of the required data. Afterwards we installed the Q-Rapids tool in the four companies and performed semi-structured interviews with eight product owners to evaluate the understandability and relevance of the Q-Rapids quality model. Results: The participants of the evaluation perceived the metrics as well as the product and process factors of the Q-Rapids quality model as understandable. Also, they considered the Q-Rapids quality model relevant for identifying product and process deficiencies (e.g., blocking code situations). Conclusions: By means of heterogeneous data sources, the Q-Rapids quality model enables detecting problems that take more time to find manually and adds transparency among the perspectives of system, process, and usage.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshComputer software -- Quality control
dc.subject.lcshDecision making
dc.subject.lcshComputer software -- Reliability
dc.subject.otherQuality model
dc.subject.otherSoftware quality
dc.subject.otherSoftware analytics
dc.subject.otherRapid software development
dc.subject.otherQ-Rapids
dc.subject.otherH2020
dc.subject.otherAgile
dc.titleA quality model for actionable analytics in rapid software development
dc.typeConference report
dc.subject.lemacProgramari -- Control de qualitat
dc.subject.lemacDecisió, Presa de
dc.subject.lemacProgramari -- Fiabilitat
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1109/SEAA.2018.00067
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8498234
dc.rights.accessOpen Access
local.identifier.drac26955060
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS
local.citation.authorMartínez-Fernández, S.; Jedlitschka, A.; Guzmán, L.; Vollmer, A.M.
local.citation.contributorEuromicro Conference on Software Engineering and Advanced Applications
local.citation.publicationName44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018: 29–31 August 2018, Prague, Czech Republic: proceedings
local.citation.startingPage370
local.citation.endingPage377


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