Software change impact analysis (CIA) is a technique for identifying the effects of a change,
or estimating what needs to be modified to accomplish a change. Since the 1980s, there …

Most software is accompanied by frequent changes, whereas the implementation of a single
change can affect many different parts of the system. Approaches for Impact Analysis have …

Many approaches to support (semi-automatic) identification of objects in legacy code take
the data structures as starting point for candidate classes. Unfortunately, legacy data …

Coupling is a fundamental property of software systems, and numerous coupling measures
have been proposed to support various development and maintenance activities. However …

Change impact analysis, ie, knowing the potential consequences of a software change, is
critical for the risk analysis, developer effort estimation, and regression testing of evolving …

As software evolves, problematic changes can significantly degrade software performance,
ie, introducing performance regression. Performance regression testing is an effective way …

Regression performance testing is an important but time/resource-consuming phase during
software development. Developers need to detect performance regressions as early as …

Software change impact analysis aims to find artifacts potentially affected by a change.
Typical approaches apply language-specific static or dynamic dependence analysis, and …

Software evolution analysis provides a valuable source of information that can be used both
to understand a system's design and predict its future development. While for many program …

Previous studies have demonstrated the relationship between coupling and external
software quality attributes, such as fault-proneness, and the application of coupling to …