dc.creator | Meidan, Ayman | es |
dc.creator | García García, Julián Alberto | es |
dc.creator | Ramos Román, Isabel | es |
dc.creator | Escalona Cuaresma, María José | es |
dc.date.accessioned | 2019-02-27T10:17:02Z | |
dc.date.available | 2019-02-27T10:17:02Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Meidan, A., García García, J.A., Ramos Román, I. y Escalona Cuaresma, M.J. (2018). Measuring Software Process: A Systematic Mapping Study. ACM Computing Surveys, 51 (3), 58-1-58-32. | |
dc.identifier.issn | 0360-0300 | es |
dc.identifier.uri | https://hdl.handle.net/11441/83547 | |
dc.description.abstract | Context: Measurement is essential to reach predictable performance and high capability processes. It provides
support for better understanding, evaluation, management, and control of the development process
and project, as well as the resulting product. It also enables organizations to improve and predict its process’s
performance, which places organizations in better positions to make appropriate decisions. Objective:
This study aims to understand the measurement of the software development process, to identify studies,
create a classification scheme based on the identified studies, and then to map such studies into the scheme
to answer the research questions. Method: Systematic mapping is the selected research methodology for this
study. Results: A total of 462 studies are included and classified into four topics with respect to their focus
and into three groups based on the publishing date. Five abstractions and 64 attributes were identified,
25 methods/models and 17 contexts were distinguished. Conclusion: capability and performance were the
most measured process attributes, while effort and performance were the most measured project attributes.
Goal Question Metric and Capability Maturity Model Integration were the main methods and models used
in the studies, whereas agile/lean development and small/medium-size enterprise were the most frequently
identified research contexts. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2013-46928-C3-3-R | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2016-76956-C3-2- R | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2015-71938-REDT | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | ACM | es |
dc.relation.ispartof | ACM Computing Surveys, 51 (3), 58-1-58-32. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Measuring Software Process: A Systematic Mapping Study | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2013-46928-C3-3-R | es |
dc.relation.projectID | TIN2016-76956-C3-2- R | es |
dc.relation.projectID | TIN2015-71938-REDT | es |
dc.relation.publisherversion | https://dl.acm.org/citation.cfm?doid=3212709.3186888 | es |
dc.identifier.doi | 10.1145/3186888 | es |
idus.format.extent | 32 | es |
dc.journaltitle | ACM Computing Surveys | es |
dc.publication.volumen | 51 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 58-1 | es |
dc.publication.endPage | 58-32 | es |