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DC Field | Value | Language |
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dc.contributor.author | Atkinson, K | - |
dc.contributor.author | Shepperd, M J | - |
dc.coverage.spatial | 5 | en |
dc.date.accessioned | 2008-01-21T15:39:20Z | - |
dc.date.available | 2008-01-21T15:39:20Z | - |
dc.date.issued | 1994 | - |
dc.identifier.citation | 5th European Software Cost Modelling Meeting, Ivrea, Italy | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1553 | - |
dc.description.abstract | Finding effective techniques for the early estimation of project effort remains an important — and frustratingly elusive — research objective for the software development community. We have conducted an empirical study of 21 real time projects for a major software developer. The study collected a range of counts and measures derived from specification documents, including a derivative of Function Points intended for highly constrained systems. Notwithstanding the fact that the projects were drawn from a comparatively stable environment, traditional approaches for building prediction systems, (for example, regression analysis) failed to yield a useful predictive model. By contrast, estimation based upon the automated search for analogous projects produced more accurate estimates. How much this is a characteristic of this particular dataset and how much these findings might be more generally replicated is uncertain. Nevertheless, these results should act as encouragement for follow up research on a much under utilised estimation technique. | en |
dc.format.extent | 111736 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.subject | effort prediction | en |
dc.subject | analogy | en |
dc.subject | function points | en |
dc.subject | cost estimation | en |
dc.subject | software engineering | en |
dc.title | The use of function points to find cost analogies | en |
dc.type | Conference Paper | en |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers Software Engineering (B-SERC) |
Files in This Item:
File | Description | Size | Format | |
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ESCOMM 94-Numbered MJS.pdf | 109.12 kB | Adobe PDF | View/Open |
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