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dc.contributor.authorLópez Cuesta, Lidia
dc.contributor.authorBurgués Illa, Xavier
dc.contributor.authorMartínez Fernández, Silverio Juan
dc.contributor.authorVollmer, Anna Maria
dc.contributor.authorBehutiye, Woubshet
dc.contributor.authorKarhapää, Pertti
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorRodriguez, Pilar
dc.contributor.authorOivo, Markku
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor.otherFraunhofer Institute for Experimental Software Engineering
dc.contributor.otherUniversity of Oulu
dc.contributor.otherUniversidad Politécnica de Madrid
dc.coverage.temporal2001-2019
dc.date.accessioned2021-01-25T11:50:43Z
dc.date.available2021-01-25T11:50:43Z
dc.date.issued2020-01
dc.identifier.citationLópez Cuesta, L. [et al.]. (2020). Quality measurement in agile and rapid software development: a systematic mapping [Dataset]. 1 v. Universitat Politècnica de Catalunya. https://doi.org/10.5821/data-2117-335910-1
dc.identifier.urihttp://hdl.handle.net/2117/335910
dc.descriptionThe dataset contains the following files: (1) readme.txt, it is a text file including details about the content of the dataset; (2) Measurement in ARSD_SMS_Data.xls, it is a MS Excel file containing the data used in the analysis of the primary studies, reported in Section 4 of the paper; and, (3) Metrics in ARSD.pdf, it is pdf file containing the complete list of metrics reported in the different primary studies. The metrics are classified into the following categories: QR metrics, QMIs, and QMI metrics. In the MS Excel file, the data is organised in separated sheets: (a) RQ1 - Literature characterisation; (b) RQ2 - QR Metrics, where QR refers to Quality Requirements; (c) RQ3 - QMI, where QMI refers to Quality Management Indicators; (d) RQ3 - Tools, corresponding to the reported tools used to manage QMIs; and, (e) RQ3 - QMI Metrics.
dc.description.abstractThis dataset has been used to generate part of the results included in the manuscript: “Quality Measurement in Agile and Rapid Software Development: A Systematic Mapping”, submitted to the Information and Software Technology journal (IST) at the time of publishing this dataset. The paper reports the results of a systematic mapping study surveying the literature related to quality requirements management through metrics in agile and rapid software development processes. The dataset contains the data extracted from the primary studies that was used in the analysis phase of the study and reported in the results section of the paper. The data extracted from the primary studies has been complemented with some data used for specific purposes, e.g. during the analysis phase, we included the list of companies collaborating in the paper analysing the authors’ affiliations to understand the level of implication of companies in the field. Complementing the data analysed, the dataset includes some detailed results that are not included in the body of the paper, i.e., the list of metrics reported in the selected primary studies.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.otherMetrics
dc.subject.otherQuality requirements
dc.subject.otherQuality indicators
dc.subject.otherAgile software development
dc.subject.otherRapid software development
dc.titleQuality measurement in agile and rapid software development: a systematic mapping [Dataset]
dc.typeDataset
dc.contributor.groupUniversitat Politècnica de Catalunya. GESSI - Group of Software and Service Engineering
dc.identifier.doi10.5821/data-2117-335910-1
dc.rights.accessRestricted access - author's decision
dc.description.version1
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2016-79269-R


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