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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Grottke, M. Graf, C. |
| Copyright Year | 2009 |
| Abstract | For software, the costs of failures are not clearly understood. Often, these costs disappear in the costs of testing, the general developments costs, or the operating expenses.In a general manufacturing context, the British Standard BS-6143-2:1990 classifies quality-related costs into prevention costs, appraisal costs, and failure costs. It furthermore recommends to identify the activities carried out within each of these categories, and to measure the costs connected with the activities. The standard thus presents a framework for recording and structuring costs once they have occurred.In this paper, we propose an approach for structuring the information on internal and external software failure costs such that their development over time can be represented by stochastic models. Based on these models, future failure costs can be predicted. In two case studies we show how the approach was applied in an industrial software development project. |
| Starting Page | 180 |
| Ending Page | 189 |
| File Size | 226973 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769537269 |
| ISSN | 07303157 |
| DOI | 10.1109/COMPSAC.2009.195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Predictive models Costs Appraisal Software testing Fault detection Software quality Software maintenance System testing Economic forecasting Computer applications software failure costs activity-based costing continuous-time Markov chain cost prediction Markov reward model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Software |
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