Fitting a workflow model to captured development data

In this paper, we introduce a semi-automated process called software engineering workflow analysis (SEWA) for developing heuristics that analyze captured data to identify where programmers spend their time. To evaluate our process, we ran two case studies in the domain of high-performance computing to generate programmer workflow models for small problems, cross-checking our results against direct observations.