Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1553
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dc.contributor.authorAtkinson, K-
dc.contributor.authorShepperd, M J-
dc.coverage.spatial5en
dc.date.accessioned2008-01-21T15:39:20Z-
dc.date.available2008-01-21T15:39:20Z-
dc.date.issued1994-
dc.identifier.citation5th European Software Cost Modelling Meeting, Ivrea, Italyen
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/1553-
dc.description.abstractFinding 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.extent111736 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjecteffort predictionen
dc.subjectanalogyen
dc.subjectfunction pointsen
dc.subjectcost estimationen
dc.subjectsoftware engineeringen
dc.titleThe use of function points to find cost analogiesen
dc.typeConference Paperen
Appears in Collections:Computer Science
Dept of Computer Science Research Papers
Software Engineering (B-SERC)

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