Browsing SERL - Software Engineering Research Laboratory by Author "Shepperd, MJ"
Now showing items 1-6 of 6
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Combining techniques to optimize effort predictions in software project management
MacDonell, SG; Shepperd, MJ (Elsevier, 2003)This paper tackles two questions related to software effort prediction. First, is it valuable to combine prediction techniques? Second, if so, how? Many commentators have suggested the use of more than one technique in ... -
Comparing local and global software effort estimation models – reflections on a systematic review
MacDonell, SG; Shepperd, MJ (IEEE Computer Society Press, 2007)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 ... -
Factors systematically associated with errors in subjective estimates of software development effort: the stability of expert judgment
Gray, AR; MacDonell, SG; Shepperd, MJ (IEEE Computer Society, 1999)Estimation of project development effort is most often performed by expert judgment rather than by using an empirically derived model (although such may be used by the expert to assist their decision). One question that ... -
Metrics for database systems: an empirical study
MacDonell, SG; Shepperd, MJ; Sallis, PJ (IEEE Computer Society Press, 1997)An important task for any software project manager is to be able to predict and control project size and development effort. Unfortunately, there is comparatively little work, other than function points, that tackles the ... -
Using prior-phase effort records for re-estimation during software projects
MacDonell, SG; Shepperd, MJ (IEEE Computer Society Press, 2003)Estimating the effort required for software process activities continues to present difficulties for software engineers, particularly given the uncertainty and subjectivity associated with the many factors that can influence ... -
What accuracy statistics really measure
Kitchenham, B; Pickard, L; MacDonell, SG; Shepperd, MJ (IEEE, 2001)Provides the software estimation research community with a better understanding of the meaning of, and relationship between, two statistics that are often used to assess the accuracy of predictive models: the mean magnitude ...