
During the development and maintenance of object-oriented (OO) software, the information on the classes which are more prone to be changed is very useful. Developers and maintainers can make a more flexible software by modifying the part of classes which are sensitive to changes. Traditionally, most change-proneness prediction has been studied based on source codes. However, change-proneness prediction in the early phase of software development can provide an easier way for developing a stable software by modifying the current design or choosing alternative designs before implementation. To address this need, we present a systematic method for calculating the behavioral dependency measure (BDM) which helps to predict change-proneness in UML 2.0 models. The proposed measure has been evaluated on a multi-version medium size open-source project namely JFreeChart. The obtained results show that the BDM is an useful indicator and can be complementary to existing OO metrics for change-proneness prediction.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
