| Modern computers have become increasingly indispensable in all sorts of industries. However, the increasing software cost and delivery delay encourage Information System Department to attempt to install objective measurement programs for their software projects. The traditional methods used for this purpose have a number of problems and limitations and therefore, there is a continuing need to explore new methods to measure the efficiency of the software project production process. The multi-dimensionality of software development makes Data Envelopment Analysis an attractive solution. The objective of this work is to validate the hypothesis that DEA is a superior technique for measuring software project efficiency in an actual production environment relative to commonly used techniques. Two DEA models are developed for this purpose. The results compared favorably to the results of several popular ratio analyses. The key factors that affect performance are investigated using DEA results. In addition, the projects are segmented to three categories and carry out more analysis. |
