@article{IhdePufahlVoelkeretal.2022,
  author    = {Ihde, Sven and Pufahl, Luise and V{\"o}lker, Maximilian and Goel, Asvin and Weske, Mathias},
  title     = {A framework for modeling and executing task},
  series = {Computing : archives for informatics and numerical computation},
  volume    = {104},
  journal   = {Computing : archives for informatics and numerical computation},
  publisher = {Springer},
  address   = {Wien},
  issn      = {0010-485X},
  doi       = {10.1007/s00607-022-01093-2},
  pages     = {2405 -- 2429},
  year      = {2022},
  abstract  = {As resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads to effective process executions, since each task is performed by a resource that has the required skills and competencies to do so. However, the resulting allocations are typically not as efficient as they could be, since optimization techniques have yet to find their way in traditional business process management scenarios. On the other hand, operations research provides a rich set of analytical methods for supporting problem-specific decisions on resource allocation. This paper provides a novel framework for creating transparency on existing tasks and resources, supporting individualized allocations for each activity in a process, and the possibility to integrate problem-specific analytical methods of the operations research domain. To validate the framework, the paper reports on the design and prototypical implementation of a software architecture, which extends a traditional process engine with a dedicated resource management component. This component allows us to define specific resource allocation problems at design time, and it also facilitates optimized resource allocation at run time. The framework is evaluated using a real-world parcel delivery process. The evaluation shows that the quality of the allocation results increase significantly with a technique from operations research in contrast to the traditional applied rule-based approach.},
  language  = {en}
}
@article{BanoMichaelRumpeetal.2022,
  author    = {Bano, Dorina and Michael, Judith and Rumpe, Bernhard and Varga, Simon and Weske, Mathias},
  title     = {Process-aware digital twin cockpit synthesis from event logs},
  series = {Journal of computer languages},
  volume    = {70},
  journal   = {Journal of computer languages},
  publisher = {Elsevier},
  address   = {Amsterdam [u.a.]},
  issn      = {2590-1184},
  doi       = {10.1016/j.cola.2022.101121},
  pages     = {19},
  year      = {2022},
  abstract  = {The engineering of digital twins and their user interaction parts with explicated processes, namely processaware digital twin cockpits (PADTCs), is challenging due to the complexity of the systems and the need for information from different disciplines within the engineering process. Therefore, it is interesting to investigate how to facilitate their engineering by using already existing data, namely event logs, and reducing the number of manual steps for their engineering. Current research lacks systematic, automated approaches to derive process-aware digital twin cockpits even though some helpful techniques already exist in the areas of process mining and software engineering. Within this paper, we present a low-code development approach that reduces the amount of hand-written code needed and uses process mining techniques to derive PADTCs. We describe what models could be derived from event log data, which generative steps are needed for the engineering of PADTCs, and how process mining could be incorporated into the resulting application. This process is evaluated using the MIMIC III dataset for the creation of a PADTC prototype for an automated hospital transportation system. This approach can be used for early prototyping of PADTCs as it needs no hand-written code in the first place, but it still allows for the iterative evolvement of the application. This empowers domain experts to create their PADTC prototypes.},
  language  = {en}
}
@article{AndreeIhdeWeskeetal.2022,
  author    = {Andree, Kerstin and Ihde, Sven and Weske, Mathias and Pufahl, Luise},
  title     = {An exception handling framework for case management},
  series = {Software and Systems Modeling},
  volume    = {21},
  journal   = {Software and Systems Modeling},
  number    = {3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1619-1366},
  doi       = {10.1007/s10270-022-00993-3},
  pages     = {939 -- 962},
  year      = {2022},
  abstract  = {In order to achieve their business goals, organizations heavily rely on the operational excellence of their business processes. In traditional scenarios, business processes are usually well-structured, clearly specifying when and how certain tasks have to be executed. Flexible and knowledge-intensive processes are gathering momentum, where a knowledge worker drives the execution of a process case and determines the exact process path at runtime. In the case of an exception, the knowledge worker decides on an appropriate handling. While there is initial work on exception handling in well-structured business processes, exceptions in case management have not been sufficiently researched. This paper proposes an exception handling framework for stage-oriented case management languages, namely Guard Stage Milestone Model, Case Management Model and Notation, and Fragment-based Case Management. The effectiveness of the framework is evaluated with two real-world use cases showing that it covers all relevant exceptions and proposed handling strategies.},
  language  = {en}
}