Bala, SaimirCabanillas Macías, CristinaMendling, JanRogge-Solti, AndreasPolleres, Axel2020-11-192020-11-192016Bala, S., Cabanillas Macías, C., Mendling, J., Rogge-Solti, A. y Polleres, A. (2016). Mining Project-Oriented Business Processes. En BPM 2016: 13th International Conference on Business Process Management (425-440), Innsbruck, Austria: Springer.978-3-319-23062-70302-9743https://hdl.handle.net/11441/102710Large engineering processes need to be monitored in detail regarding when what was done in order to prove compliance with rules and regulations. A typical problem of these processes is the lack of control that a central process engine provides, such that it is di cult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by de ning a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally de ne the notion of a project-oriented business process and a corresponding mining algorithm. Our evaluation based on a prototypical implementation demonstrates the bene ts in comparison to existing process mining approaches for this speci c class of processes.application/pdf17engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Process miningProjectsProject miningVersion control systemsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1007/978-3-319-23063-4_28