Software Product Quality Metrics: a Systematic Mapping Study

dc.authorid Mishra, Alok/0000-0003-1275-2050
dc.authorid Yazici, Ali/0000-0001-5405-802X
dc.authorid Colakoglu, Fatima Nur/0000-0003-1398-4136
dc.authorscopusid 57192075156
dc.authorscopusid 8514029100
dc.authorscopusid 7201441575
dc.authorwosid Colakoglu, Fatima Nur/HNS-1943-2023
dc.authorwosid Mishra, Alok/AAE-2673-2019
dc.authorwosid Yazici, Ali/Q-5115-2019
dc.contributor.author Colakoglu, Fatima Nur
dc.contributor.author Yazici, Ali
dc.contributor.author Mishra, Alok
dc.contributor.other Software Engineering
dc.date.accessioned 2024-07-05T15:19:00Z
dc.date.available 2024-07-05T15:19:00Z
dc.date.issued 2021
dc.department Atılım University en_US
dc.department-temp [Colakoglu, Fatima Nur] HAVELSAN, TR-06510 Ankara, Turkey; [Yazici, Ali; Mishra, Alok] Atilim Univ, Dept Software Engn, TR-06830 Ankara, Turkey; [Mishra, Alok] Molde Univ Coll Specialized Univ Logist, Dept Informat & Digitalizat, N-6410 Molde, Norway en_US
dc.description Mishra, Alok/0000-0003-1275-2050; Yazici, Ali/0000-0001-5405-802X; Colakoglu, Fatima Nur/0000-0003-1398-4136 en_US
dc.description.abstract In the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics. en_US
dc.description.sponsorship Molde University College~Specialized University in Logistics, Norway en_US
dc.description.sponsorship This work was supported by Molde University College~Specialized University in Logistics, Norway. en_US
dc.identifier.citationcount 15
dc.identifier.doi 10.1109/ACCESS.2021.3054730
dc.identifier.endpage 44670 en_US
dc.identifier.issn 2169-3536
dc.identifier.scopus 2-s2.0-85100468094
dc.identifier.scopusquality Q1
dc.identifier.startpage 44647 en_US
dc.identifier.uri https://doi.org/10.1109/ACCESS.2021.3054730
dc.identifier.uri https://hdl.handle.net/20.500.14411/1931
dc.identifier.volume 9 en_US
dc.identifier.wos WOS:000633372700001
dc.identifier.wosquality Q2
dc.institutionauthor Yazıcı, Ali
dc.institutionauthor Mıshra, Alok
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 38
dc.subject Measurement en_US
dc.subject Quality assessment en_US
dc.subject Product design en_US
dc.subject Market research en_US
dc.subject Software quality en_US
dc.subject ISO Standards en_US
dc.subject Object oriented modeling en_US
dc.subject Software quality en_US
dc.subject software product quality en_US
dc.subject metrics en_US
dc.subject systematic mapping en_US
dc.title Software Product Quality Metrics: a Systematic Mapping Study en_US
dc.type Article en_US
dc.wos.citedbyCount 28
dspace.entity.type Publication
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