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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Madachy, R. Boehm, B. Clark, B. Tan, T. Rosa, W. |
| Copyright Year | 2011 |
| Abstract | General software cost parameters such as size, effort distribution, and productivity are necessarily imprecise due to variations by domain. To improve this situation, empirical software cost analysis using the primary US DoD cost database has been segmented by domain. This analysis supports a software cost estimation metrics manual for improvements in acquisition policies, procedures and tools. We have addressed the challenges of consistent data definitions and taxonomies across diverse stakeholder communities, data integrity, data formats, and others. We highlight example analysis results from an application domain demonstrating cost estimating relationships, benchmarks on reuse parameters and effort distributions for estimators to use. |
| Starting Page | 392 |
| Ending Page | 395 |
| File Size | 196174 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457722035 |
| ISSN | 19386451 |
| DOI | 10.1109/ESEM.2011.56 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-22 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Productivity software productivity Taxonomy Estimation Aerospace electronics Educational institutions Software US Department of Defense software cost estimation Department of Defense software cost models software metrics |
| Content Type | Text |
| Resource Type | Article |
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