Insights into the Prevalence of Software Project Defects
This paper analyses the effect of the effort distribution along the software development lifecycle on the prevalence of software defects. This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/179105 |
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| _version_ | 1832558152600518656 |
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| author | Javier Alfonso-Cendón Manuel Castejón Limas Joaquín B. Ordieres Meré Juan Pavón |
| author_facet | Javier Alfonso-Cendón Manuel Castejón Limas Joaquín B. Ordieres Meré Juan Pavón |
| author_sort | Javier Alfonso-Cendón |
| collection | DOAJ |
| description | This paper analyses the effect of the effort distribution along the software development lifecycle on the prevalence of software defects. This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects. Data mining techniques have been applied to gain a better understanding of the behaviour of the project activities and to identify a link between the effort distribution and the prevalence of software defects. This analysis has been complemented with the use of a hierarchical clustering algorithm with a dissimilarity based on the likelihood ratio statistic, for exploratory purposes. As a result, different behaviours have been identified for this collection of software development projects, allowing for the definition of risk control strategies to diminish the number and impact of the software defects. It is expected that the use of similar estimations might greatly improve the awareness of project managers on the risks at hand. |
| format | Article |
| id | doaj-art-14a75178990244348d68641bd94e45d7 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-14a75178990244348d68641bd94e45d72025-02-03T01:33:07ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/179105179105Insights into the Prevalence of Software Project DefectsJavier Alfonso-Cendón0Manuel Castejón Limas1Joaquín B. Ordieres Meré2Juan Pavón3University of Leon, Leon, SpainUniversity of Leon, Leon, SpainPolytechnic University of Madrid, Madrid, SpainUniversidad Complutense de Madrid, Madrid, SpainThis paper analyses the effect of the effort distribution along the software development lifecycle on the prevalence of software defects. This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects. Data mining techniques have been applied to gain a better understanding of the behaviour of the project activities and to identify a link between the effort distribution and the prevalence of software defects. This analysis has been complemented with the use of a hierarchical clustering algorithm with a dissimilarity based on the likelihood ratio statistic, for exploratory purposes. As a result, different behaviours have been identified for this collection of software development projects, allowing for the definition of risk control strategies to diminish the number and impact of the software defects. It is expected that the use of similar estimations might greatly improve the awareness of project managers on the risks at hand.http://dx.doi.org/10.1155/2014/179105 |
| spellingShingle | Javier Alfonso-Cendón Manuel Castejón Limas Joaquín B. Ordieres Meré Juan Pavón Insights into the Prevalence of Software Project Defects The Scientific World Journal |
| title | Insights into the Prevalence of Software Project Defects |
| title_full | Insights into the Prevalence of Software Project Defects |
| title_fullStr | Insights into the Prevalence of Software Project Defects |
| title_full_unstemmed | Insights into the Prevalence of Software Project Defects |
| title_short | Insights into the Prevalence of Software Project Defects |
| title_sort | insights into the prevalence of software project defects |
| url | http://dx.doi.org/10.1155/2014/179105 |
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