Process management systems aim to enable a flexible yet systematic control of the execution of a process on the basis of its model. Therefore, a process model should encompass all necessary information for achieving the monitoring goals on the operational process. Up to this time, the research in process modeling has tended to focus on developing process modeling languages to represent process models. However, it lacks concrete guidelines for modelers to systematically define such models with the adequate details to enable an effective control of process execution. In this study, we address this lack by proposing a goal-oriented methodology for systematically modeling processes. Our methodology is dedicated to Artifact-Centric Process Modeling (ACPM). ACPM is an emerging approach that combines both data and process in a holistic manner, thus it’s more suitable to model complex unstructured processes. We illustrate the proposed methodology by applying it practically to model a portion of the Rational Unified Process (RUP) with the intention of enhancing traceability at execution time.