Investigating quality factors in object-oriented designs: an industrial case study

This paper aims at empirically exploring the relationships between most of the existing coupling and cohesion measures for object-oriented (OO) systems, and the fault-proneness of OO system classes. The underlying goal of such a study is to better understand the relationship between existing design measurement in OO systems and the quality of the software developed. The study described here is a replication of an analogous study conducted in an university environment with systems developed by students. In order to draw more general conclusions and to (dis)confirm the results obtained there, we now replicated the study using data collected on an industrial system developed by professionals. Results show that many of our findings are consistent across systems, despite the very disparate nature of the systems under study. Some of the strong dimensions captured by the measures in each data set are visible in both the university and industrial case study. For example, the frequency of method invocations appears to be the main driving factor of fault-proneness in all systems. However, there are also differences across studies which illustrate the fact that quality does not follow universal laws and that quality models must be developed locally, wherever needed.