Elvira-Maria Arvanitou

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Context: Change impact analysis investigates the negative consequence of system changes, i.e., the propagation of changes to other parts of the system (also known as the ripple effect). Identifying modules of the system that will be affected by the ripple effect is an important activity, before and after the application of any change. Goal: However, in the(More)
In this paper, we investigate the correlation between design pattern application and software defects. In order to achieve this goal we conducted an empirical study on java open source games. More specifically, we examined several successful open source games, identified the number of defects, the debugging rate and performed design pattern related(More)
Change proneness is a quality characteristic of software artifacts that represents their probability to change in the future due to: (a) evolving requirements, (b) bug fixing, or (c) ripple effects. In the literature, change proneness has been associated with many negative consequences along software evolution. For example, artifacts that are change-prone(More)
Design patterns are widely recognized as reusable solutions that can be applied for improving design quality. However, empirical results suggest that patterns may sometimes support and other times hurt a quality attribute. Thus, there is a need for guidance on when a pattern is beneficial and when it is not. To provide such guidance, we propose a(More)
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