On Visualization and Comprehension of Scenario-Based Programs

We address the problem of comprehending cause and effect relationships between relatively independent behavior components of a single application. Our focus is on the paradigm of behavioral, scenario-based, programming, as captured by the language of live sequence charts (LSC) or its Java-based counterpart, BPJ. In this programming paradigm, multi-modal behaviors can be specified separately, and are integrated only at run time. We present a tool, with which the user can easily follow the decisions of the collective execution mechanism. It shows the behaviors and events that were executed at each point in time, and those that were delayed or abandoned, as well as the causes and reasons behind these run-time choices. The dynamic effects of such decisions on thesystem's behavior can be seen easily too.