Name
Title | ||
|---|---|---|
Transparent combination of expert and measurement data for defect prediction: an industrial case study |
Abstract | ||
|---|---|---|
Defining strategies on how to perform quality assurance (QA) and how to control such activities is a challenging task for organizations developing or maintaining software and software-intensive systems. Planning and adjusting QA activities could benefit from accurate estimations of the expected defect content of relevant artifacts and the effectiveness of important quality assurance activities. Combining expert opinion with commonly available measurement data in a hybrid way promises to overcome the weaknesses of purely data-driven or purely expert-based estimation methods. This article presents a case study of the hybrid estimation method HyDEEP for estimating defect content and QA effectiveness in the telecommunication domain. The specific focus of this case study is the use of the method for gaining quantitative predictions. This aspect has not been empirically analyzed in previous work. Among other things, the results show that for defect content estimation, the method performs significantly better statistically than purely data-based methods, with a relative error of 0.3 on average (MMRE). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/1810295.1810313 | Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2 |
Keywords | DocType | Volume |
measurement data,data-based method,qa effectiveness,qa activity,defect content estimation,transparent combination,defect content,expert-based estimation method,accurate estimation,case study,industrial case study,defect prediction,hybrid estimation method hydeep,expected defect content,planning,quality control,software quality,relative error,quality assurance,data analysis,data models,context modeling,estimation,expert systems,organization development,predictive models | Journal | abs/1401.1326 |
ISSN | Citations | PageRank |
Proceedings of the 32nd ACM/IEEE International Conference on
Software Engineering (ICSE '10), pages 119-128, New York, NY, USA, 2010 | 8 | 0.46 |
References | Authors | |
20 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Kläs | 1 | 96 | 9.50 |
| Frank Elberzhager | 2 | 146 | 20.44 |
| Jürgen Münch | 3 | 1286 | 147.27 |
| Klaus Hartjes | 4 | 8 | 0.46 |
| Olaf von Graevemeyer | 5 | 8 | 0.46 |