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dc.contributor.authorMartínez Fernández, Silverio Juan
dc.contributor.authorVollmer, Anna Maria
dc.contributor.authorJedlitschka, Andreas
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorLópez Cuesta, Lidia
dc.contributor.authorRam, Prabhat
dc.contributor.authorRodríguez, Pilar
dc.contributor.authorAaramaa, Sanja
dc.contributor.authorBagnato, Alessandra
dc.contributor.authorChoras, Michal
dc.contributor.authorPartanen, Jari
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2019-05-23T10:42:19Z
dc.date.available2019-05-23T10:42:19Z
dc.date.issued2019-05-17
dc.identifier.citationMartínez-Fernández, S. [et al.]. Continuously assessing and improving software quality with software analytics tools: a case study. "IEEE access", vol. 7, 17 Maig 2019, p. 68219-68239.
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2117/133374
dc.description.abstractIn the last decade, modern data analytics technologies have enabled the creation of software analytics tools offering real-time visualization of various aspects related to software development and usage. These tools seem to be particularly attractive for companies doing agile software development. However, the information provided by the available tools is neither aggregated nor connected to higher quality goals. At the same time, assessing and improving software quality has also been a key target for the software engineering community, yielding several proposals for standards and software quality models. Integrating such quality models into software analytics tools could close the gap by providing the connection to higher quality goals. This study aims at understanding whether the integration of quality models into software analytics tools provides understandable, reliable, useful, and relevant information at the right level of detail about the quality of a process or product, and whether practitioners intend to use it. Over the course of more than one year, the four companies involved in this case study deployed such a tool to assess and improve software quality in several projects. We used standardized measurement instruments to elicit the perception of 22 practitioners regarding their use of the tool. We complemented the findings with debriefing sessions held at the companies. In addition, we discussed challenges and lessons learned with four practitioners leading the use of the tool. Quantitative and qualitative analyses provided positive results; i.e., the practitioners’ perception with regard to the tool’s understandability, reliability, usefulness, and relevance was positive. Individual statements support the statistical findings and constructive feedback can be used for future improvements. We conclude that potential for future adoption of quality models within software analytics tools definitely exists and encourage other practitioners to use the presented seven challenges and seven lessons learned and adopt them in their companies.
dc.format.extent20 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshComputer software -- Quality control
dc.subject.lcshAgile software development
dc.subject.otherCase study
dc.subject.otherQuality model
dc.subject.otherSoftware analytics
dc.subject.otherSoftware analytics tool
dc.subject.otherSoftware quality
dc.titleContinuously assessing and improving software quality with software analytics tools: a case study
dc.typeArticle
dc.subject.lemacProgramari -- Control de qualitat
dc.subject.lemacProgramari àgil -- Desenvolupament
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1109/ACCESS.2019.2917403
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8717997/
dc.rights.accessOpen Access
local.identifier.drac25145742
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS
local.citation.authorMartínez-Fernández, S.; Vollmer, A.M.; Jedlitschka, A.; Franch, X.; López, L.; Ram, P.; Rodríguez, P.; Aaramaa, S.; Bagnato, A.; Choras, M.; Partanen, J.
local.citation.publicationNameIEEE access
local.citation.volume7
local.citation.startingPage68219
local.citation.endingPage68239


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Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain