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dc.contributor.authorManzano Aguilar, Martí
dc.contributor.authorAyala Martínez, Claudia Patricia
dc.contributor.authorGómez Seoane, Cristina
dc.contributor.authorLópez Cuesta, Lidia
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2020-02-27T10:26:43Z
dc.date.available2020-02-27T10:26:43Z
dc.date.issued2019
dc.identifier.citationManzano, M. [et al.]. A software service supporting software quality forecasting. A: IEEE International Workshop on Data-driven System Quality Assurance. "Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019: Sofia, Bulgaria, 22-26 July 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 130-132.
dc.identifier.isbn978-1-7281-3925-8
dc.identifier.urihttp://hdl.handle.net/2117/178765
dc.description.abstractSoftware repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects. The exploitation of such data with techniques like forecasting is becoming an increasing need in several domains to support decision-making processes. However, although there exist several statistical tools and languages supporting forecasting, there is a lack of friendly approaches that enable practitioners to exploit the advantages of creating and using such models in their dashboard tools. Therefore, we have developed a modular and flexible forecasting service allowing the interconnection with different kinds of databases/data repositories for creating and exploiting forecasting models based on methods like ARIMA or ETS. The service is open source software, has been developed in Java and R and exposes its functionalities through a REST API. Architecture details are provided, along with functionalities’ description and an example of its use for software quality forecasting.
dc.format.extent3 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.classificationOpen source software
dc.subject.lcshApplication program interfaces (Computer software)
dc.subject.lcshDecision making
dc.subject.lcshOpen source software
dc.subject.otherForecasting
dc.subject.otherSoftware service
dc.subject.otherSoftware quality
dc.subject.otherSoftware metrics
dc.subject.otherREST API
dc.titleA software service supporting software quality forecasting
dc.typeConference report
dc.subject.lemacInterfícies de programació d'aplicacions (Programari)
dc.subject.lemacDecisió, Presa de
dc.subject.lemacProgramari lliure
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1109/QRS-C.2019.00037
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8859440
dc.rights.accessOpen Access
local.identifier.drac25959327
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.authorManzano, M.; Ayala, C.P.; Gómez, C.; López, L.
local.citation.contributorIEEE International Workshop on Data-driven System Quality Assurance
local.citation.publicationNameCompanion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019: Sofia, Bulgaria, 22-26 July 2019
local.citation.startingPage130
local.citation.endingPage132


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