An empirical study on the interplay between semantic coupling and co-change of software classes
Abstract
The evolution of software systems is an inevitable process which has to be managed effectively to enhance software quality. Change impact analysis (CIA) is a technique that identifies impact sets, i.e., the set of classes that require correction as a result of a change made to a class or artefact. These sets can also be considered as ripple effects and typically non-local: changes propagate to different parts of a system.