Feature Profiling for Evolving Systems

Abstract

Traditionally, most work in program comprehension focuses on understanding the inner workings of software systems. However, for many software maintenance tasks, not only a sound understanding of a system's implementation but also comprehensive and accurate information about the way users actually use a system's features is of crucial importance. Such information e.g. helps to determine the impact that a specific change has on the users of a system. In practice, however, this information is often not available. We propose an approach called feature profiling as a means to efficiently gather usage information to support maintenance tasks that affect the user interface of a software system. Furthermore, we present tool support for feature profiling and report on a case study in the insurance domain. In this study, we profiled the features of an application that is used by 150 users in 10 countries over a period of five months.