TY - GEN
T1 - Evaluating software product quality
T2 - Joint Conference of the 24th International Workshop on Software Measurement, IWSM 2014 and the 9th International Conference on Software Process and Product Measurement, Mensura 2014
AU - Ouhbi, Sofia
AU - Idri, Ali
AU - Aleman, Jose Luis Fernandez
AU - Toval, Ambrosio
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/30
Y1 - 2014/12/30
N2 - Evaluating software product quality (SPQ) is an important task to ensure the quality of software products. In this paper a systematic mapping study was performed to summarize the existing SPQ evaluation (SPQE) approaches in literature and to classify the selected studies according to seven classification criteria: SPQE approaches, research types, empirical types, data sets used in the empirical evaluation of these studies, artifacts, SQ models, and SQ characteristics. Publication channels and trends were also identified. 57 papers were selected. The results show that the main publication sources of the papers identified were journals. Data mining techniques are the most frequently approaches reported in literature. Solution proposals were the main research type identified. The majority of the selected papers were history-based evaluations using existing data, which were mainly obtained from open source software projects and domain specific projects. Source code was the main artifacts used by SPQE approaches. Well-known SQ models were mentioned by half of the selected papers and reliability is the SQ characteristic through which SPQE was mainly achieved. SPQE-related subjects seem to attract more interest from researchers since the past years.
AB - Evaluating software product quality (SPQ) is an important task to ensure the quality of software products. In this paper a systematic mapping study was performed to summarize the existing SPQ evaluation (SPQE) approaches in literature and to classify the selected studies according to seven classification criteria: SPQE approaches, research types, empirical types, data sets used in the empirical evaluation of these studies, artifacts, SQ models, and SQ characteristics. Publication channels and trends were also identified. 57 papers were selected. The results show that the main publication sources of the papers identified were journals. Data mining techniques are the most frequently approaches reported in literature. Solution proposals were the main research type identified. The majority of the selected papers were history-based evaluations using existing data, which were mainly obtained from open source software projects and domain specific projects. Source code was the main artifacts used by SPQE approaches. Well-known SQ models were mentioned by half of the selected papers and reliability is the SQ characteristic through which SPQE was mainly achieved. SPQE-related subjects seem to attract more interest from researchers since the past years.
UR - http://www.scopus.com/inward/record.url?scp=84924054129&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924054129&partnerID=8YFLogxK
U2 - 10.1109/IWSM.Mensura.2014.30
DO - 10.1109/IWSM.Mensura.2014.30
M3 - Conference contribution
AN - SCOPUS:84924054129
T3 - Proceedings - 2014 Joint Conference of the International Workshop on Software Measurement, IWSM 2014 and the International Conference on Software Process and Product Measurement, Mensura 2014
SP - 141
EP - 151
BT - Proceedings - 2014 Joint Conference of the International Workshop on Software Measurement, IWSM 2014 and the International Conference on Software Process and Product Measurement, Mensura 2014
A2 - Vogelezang, Frank
A2 - Daneva, Maya
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 October 2014 through 8 October 2014
ER -