| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000388900 |
| ISSN: | 1405-5546 |
| Autores: | Ouhbi, Sofia1 Idri, Ali1 Fernández Alemán, José Luis2 Toval, Ambrosio2 |
| Instituciones: | 1University Mohammed V, Software Project Management Research Team, Rabat, Rabat-Sale. Marruecos 2Universidad de Murcia, Facultad de Ciencias de la Computación, Murcia. España |
| Año: | 2015 |
| Periodo: | Jul-Sep |
| Volumen: | 19 |
| Número: | 3 |
| Paginación: | 547-562 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Predicting software product quality (SPQ) is becoming a permanent concern during software life cycle phases. In this paper, a systematic mapping study was performed to summarize the existing SPQ prediction (SPQP) approaches in literature and to organize the selected studies according to seven classification criteria: SPQP 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. After identifying 182 documents in ACM Digital Library, IEEE Xplore, ScienceDirect, SpringerLink, and Google scholar, 69 papers were selected. The results show that the main publication source of the papers identified was conference. Data mining techniques are the most frequently SPQP approaches reported in literature. Solution proposal was the main research type identified. The majority of the papers selected 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 artifact concerned with SPQP approaches. Well-known SQ models were hardly mentioned and reliability is the SQ characteristic through which SPQP was mainly achieved. SPQP-related subject seems to need more investigation from researchers and practitioners. Moreover, SQ models and standards need to be considered more in future SPQP research |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Programación, Software, Calidad de producto, Estudio sistemático de mapeo |
| Keyword: | Computer science, Programming, Software, Product quality, Systematic mapping study |
| Texte intégral: | Texto completo (Ver HTML) |
