| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10366380 | Information and Software Technology | 2011 | 27 Pages |
Abstract
Risks with simple ratio-based measurement approaches were shown. In response to the problems data envelopment analysis seems to be a strong approach to capture multivariate productivity measures, and allows to identify reference projects to which inefficient projects should be compared. Regarding simulation no general prediction model can be identified. Simulation and statistical process control are promising methods for software productivity prediction. Overall, further evidence is needed to make stronger claims and recommendations. In particular, the discussion of validity threats should become standard, and models need to be compared with each other.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Kai Petersen,