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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | MacDonell, S.G. Shepperd, M.J. |
| Copyright Year | 2007 |
| Description | Author affiliation: Auckland Univ. of Technol., Auckland (MacDonell, S.G.) |
| Abstract | The availability of multi-organisation data sets has made it possible for individual organisations to build and apply management models, even if they do not have data of their own. In the absence of any data this may be a sensible option, driven by necessity. However, if both cross-company (or global) and within-company (or local) data are available, which should be used in preference? Several research papers have addressed this question but without any apparent convergence of results. We conduct a systematic review of empirical studies comparing global and local effort prediction systems. We located 10 relevant studies: 3 supported global models, 2 were equivocal and 5 supported local models. The studies do not have converging results. A contributing factor is that they have utilised different local and global data sets and different experimental designs thus there is substantial heterogeneity. We identify the need for common response variables and for common experimental and reporting protocols. |
| Starting Page | 401 |
| Ending Page | 409 |
| File Size | 158839 |
| Page Count | 9 |
| File Format | |
| ISSN | 19386451 |
| DOI | 10.1109/ESEM.2007.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-20 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protocols Costs Predictive models Reflection Mathematics empirical analysis. systematic review D.2.9.b Cost estimation Technology management project effort Management information systems prediction Mathematical model Software measurement Software engineering |
| Content Type | Text |
| Resource Type | Article |
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