TY - JOUR A1 - Yousfi, Alaaeddine A1 - Weske, Mathias T1 - Discovering commute patterns via process mining JF - Knowledge and Information Systems N2 - Ubiquitous computing has proven its relevance and efficiency in improving the user experience across a myriad of situations. It is now the ineluctable solution to keep pace with the ever-changing environments in which current systems operate. Despite the achievements of ubiquitous computing, this discipline is still overlooked in business process management. This is surprising, since many of today’s challenges, in this domain, can be addressed by methods and techniques from ubiquitous computing, for instance user context and dynamic aspects of resource locations. This paper takes a first step to integrate methods and techniques from ubiquitous computing in business process management. To do so, we propose discovering commute patterns via process mining. Through our proposition, we can deduce the users’ significant locations, routes, travel times and travel modes. This information can be a stepping-stone toward helping the business process management community embrace the latest achievements in ubiquitous computing, mainly in location-based service. To corroborate our claims, a user study was conducted. The significant places, routes, travel modes and commuting times of our test subjects were inferred with high accuracies. All in all, ubiquitous computing can enrich the processes with new capabilities that go beyond what has been established in business process management so far. KW - Commute pattern KW - Commute process KW - Process mining KW - Ubiquitous computing KW - Location-based services Y1 - 2019 U6 - https://doi.org/10.1007/s10115-018-1255-1 SN - 0219-1377 SN - 0219-3116 VL - 60 IS - 2 SP - 691 EP - 713 PB - Springer CY - London ER - TY - INPR A1 - Weske, Mathias A1 - Yang, Jian A1 - Maglio, Paul P. T1 - Special issue service oriented computing (ICSOC) guest editors' introduction T2 - International journal of cooperative information systems Y1 - 2012 U6 - https://doi.org/10.1142/S0218843012020017 SN - 0218-8430 VL - 21 IS - 1 SP - 1 EP - 2 PB - World Scientific CY - Singapore ER - TY - JOUR A1 - Weidlich, Matthias A1 - Ziekow, Holger A1 - Gal, Avigdor A1 - Mendling, Jan A1 - Weske, Mathias T1 - Optimizing event pattern matching using business process models JF - IEEE transactions on knowledge and data engineering N2 - A growing number of enterprises use complex event processing for monitoring and controlling their operations, while business process models are used to document working procedures. In this work, we propose a comprehensive method for complex event processing optimization using business process models. Our proposed method is based on the extraction of behaviorial constraints that are used, in turn, to rewrite patterns for event detection, and select and transform execution plans. We offer a set of rewriting rules that is shown to be complete with respect to the all, seq, and any patterns. The effectiveness of our method is demonstrated in an experimental evaluation with a large number of processes from an insurance company. We illustrate that the proposed optimization leads to significant savings in query processing. By integrating the optimization in state-of-the-art systems for event pattern matching, we demonstrate that these savings materialize in different technical infrastructures and can be combined with existing optimization techniques. KW - Event processing KW - query optimisation KW - query rewriting Y1 - 2014 U6 - https://doi.org/10.1109/TKDE.2014.2302306 SN - 1041-4347 SN - 1558-2191 VL - 26 IS - 11 SP - 2759 EP - 2773 PB - Inst. of Electr. and Electronics Engineers CY - Los Alamitos ER - TY - JOUR A1 - Weidlich, Matthias A1 - Polyvyanyy, Artem A1 - Mendling, Jan A1 - Weske, Mathias T1 - Causal behavioural profiles - efficient computation, applications, and evaluation JF - Fundamenta informaticae N2 - Analysis of behavioural consistency is an important aspect of software engineering. In process and service management, consistency verification of behavioural models has manifold applications. For instance, a business process model used as system specification and a corresponding workflow model used as implementation have to be consistent. Another example would be the analysis to what degree a process log of executed business operations is consistent with the corresponding normative process model. Typically, existing notions of behaviour equivalence, such as bisimulation and trace equivalence, are applied as consistency notions. Still, these notions are exponential in computation and yield a Boolean result. In many cases, however, a quantification of behavioural deviation is needed along with concepts to isolate the source of deviation. In this article, we propose causal behavioural profiles as the basis for a consistency notion. These profiles capture essential behavioural information, such as order, exclusiveness, and causality between pairs of activities of a process model. Consistency based on these profiles is weaker than trace equivalence, but can be computed efficiently for a broad class of models. In this article, we introduce techniques for the computation of causal behavioural profiles using structural decomposition techniques for sound free-choice workflow systems if unstructured net fragments are acyclic or can be traced back to S-or T-nets. We also elaborate on the findings of applying our technique to three industry model collections. KW - Causal Behavioural Profiles KW - Formal Methods KW - Behavioural Abstraction KW - Structural Decomposition KW - Exclusiveness KW - Concurrency KW - Order Relations KW - Causality KW - Optionality Y1 - 2011 U6 - https://doi.org/10.3233/FI-2011-614 SN - 0169-2968 VL - 113 IS - 3-4 SP - 399 EP - 435 PB - IOS Press CY - Amsterdam ER - TY - JOUR A1 - Weidlich, Matthias A1 - Polyvyanyy, Artem A1 - Desai, Nirmit A1 - Mendling, Jan A1 - Weske, Mathias T1 - Process compliance analysis based on behavioural profiles JF - Information systems N2 - Process compliance measurement is getting increasing attention in companies due to stricter legal requirements and market pressure for operational excellence. In order to judge on compliance of the business processing, the degree of behavioural deviation of a case, i.e., an observed execution sequence, is quantified with respect to a process model (referred to as fitness, or recall). Recently, different compliance measures have been proposed. Still, nearly all of them are grounded on state-based techniques and the trace equivalence criterion, in particular. As a consequence, these approaches have to deal with the state explosion problem. In this paper, we argue that a behavioural abstraction may be leveraged to measure the compliance of a process log - a collection of cases. To this end, we utilise causal behavioural profiles that capture the behavioural characteristics of process models and cases, and can be computed efficiently. We propose different compliance measures based on these profiles, discuss the impact of noise in process logs on our measures, and show how diagnostic information on non-compliance is derived. As a validation, we report on findings of applying our approach in a case study with an international service provider. KW - Process compliance KW - Compliance measurement KW - Log conformance KW - Root cause analysis Y1 - 2011 U6 - https://doi.org/10.1016/j.is.2011.04.002 SN - 0306-4379 VL - 36 IS - 7 SP - 1009 EP - 1025 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Weidlich, Matthias A1 - Mendling, Jan A1 - Weske, Mathias T1 - Propagating changes between aligned process models JF - The journal of systems and software N2 - There is a wide variety of drivers for business process modelling initiatives, reaching from organisational redesign to the development of information systems. Consequently, a common business process is often captured in multiple models that overlap in content due to serving different purposes. Business process management aims at flexible adaptation to changing business needs. Hence, changes of business processes occur frequently and have to be incorporated in the respective process models. Once a process model is changed, related process models have to be updated accordingly, despite the fact that those process models may only be loosely coupled. In this article, we introduce an approach that supports change propagation between related process models. Given a change in one process model, we leverage the behavioural abstraction of behavioural profiles for corresponding activities in order to determine a change region in another model. Our approach is able to cope with changes in pairs of models that are not related by hierarchical refinement and show behavioural inconsistencies. We evaluate the applicability of our approach with two real-world process model collections. To this end, we either deduce change operations from different model revisions or rely on synthetic change operations. KW - Change propagation KW - Model synchronisation KW - Behavioural analysis KW - Process model alignment Y1 - 2012 U6 - https://doi.org/10.1016/j.jss.2012.02.044 SN - 0164-1212 VL - 85 IS - 8 SP - 1885 EP - 1898 PB - Elsevier CY - New York ER - TY - JOUR A1 - Weidlich, Matthias A1 - Dijkman, Remco A1 - Weske, Mathias T1 - Behaviour equivalence and compatibility of business process models with complex correspondences JF - The computer journal : a publication of the British Computer Society N2 - Once multiple models of a business process are created for different purposes or to capture different variants, verification of behaviour equivalence or compatibility is needed. Equivalence verification ensures that two business process models specify the same behaviour. Since different process models are likely to differ with respect to their assumed level of abstraction and the actions that they take into account, equivalence notions have to cope with correspondences between sets of actions and actions that exist in one process but not in the other. In this paper, we present notions of equivalence and compatibility that can handle these problems. In essence, we present a notion of equivalence that works on correspondences between sets of actions rather than single actions. We then integrate our equivalence notion with work on behaviour inheritance that copes with actions that exist in one process but not in the other, leading to notions of behaviour compatibility. Compatibility notions verify that two models have the same behaviour with respect to the actions that they have in common. As such, our contribution is a collection of behaviour equivalence and compatibility notions that are applicable in more general settings than existing ones. KW - behaviour equivalence KW - behaviour compatibility KW - model verification KW - behavioural models Y1 - 2012 U6 - https://doi.org/10.1093/comjnl/bxs014 SN - 0010-4620 SN - 1460-2067 VL - 55 IS - 11 SP - 1398 EP - 1418 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Rogge-Solti, Andreas A1 - Weske, Mathias T1 - Prediction of business process durations using non-Markovian stochastic Petri nets JF - Information systems N2 - Companies need to efficiently manage their business processes to deliver products and services in time. Therefore, they monitor the progress of individual cases to be able to timely detect undesired deviations and to react accordingly. For example, companies can decide to speed up process execution by raising alerts or by using additional resources, which increases the chance that a certain deadline or service level agreement can be met. Central to such process control is accurate prediction of the remaining time of a case and the estimation of the risk of missing a deadline. To achieve this goal, we use a specific kind of stochastic Petri nets that can capture arbitrary duration distributions. Thereby, we are able to achieve higher prediction accuracy than related approaches. Further, we evaluate the approach in comparison to state of the art approaches and show the potential of exploiting a so far untapped source of information: the elapsed time since the last observed event. Real-world case studies in the financial and logistics domain serve to illustrate and evaluate the approach presented. (C) 2015 Elsevier Ltd. All rights reserved. KW - Business processes KW - Duration prediction KW - Risk control KW - Stochastic Petri nets Y1 - 2015 U6 - https://doi.org/10.1016/j.is.2015.04.004 SN - 0306-4379 SN - 1873-6076 VL - 54 SP - 1 EP - 14 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Polyvyanyy, Artem A1 - Garcia-Banuelos, Luciano A1 - Fahland, Dirk A1 - Weske, Mathias T1 - Maximal structuring of acyclic process models JF - The computer journal : a publication of the British Computer Society N2 - This article addresses the transformation of a process model with an arbitrary topology into an equivalent structured process model. In particular, this article studies the subclass of process models that have no equivalent well-structured representation but which, nevertheless, can be partially structured into their maximally-structured representation. The transformations are performed under a behavioral equivalence notion that preserves the observed concurrency of tasks in equivalent process models. The article gives a full characterization of the subclass of acyclic process models that have no equivalent well-structured representation, but do have an equivalent maximally-structured one, as well as proposes a complete structuring method. Together with our previous results, this article completes the solution of the process model structuring problem for the class of acyclic process models. KW - process modeling KW - structured process model KW - maximal structuring KW - model transformation KW - fully concurrent bisimulation Y1 - 2014 U6 - https://doi.org/10.1093/comjnl/bxs126 SN - 0010-4620 SN - 1460-2067 VL - 57 IS - 1 SP - 12 EP - 35 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Meyer, Andreas A1 - Pufahl, Luise A1 - Batoulis, Kimon A1 - Fahland, Dirk A1 - Weske, Mathias T1 - Automating data exchange in process choreographies JF - Information systems N2 - Communication between organizations is formalized as process choreographies in daily business. While the correct ordering of exchanged messages can be modeled and enacted with current choreography techniques, no approach exists to describe and automate the exchange of data between processes in a choreography using messages. This paper describes an entirely model-driven approach for BPMN introducing a few concepts that suffice to model data retrieval, data transformation, message exchange, and correlation four aspects of data exchange. For automation, this work utilizes a recent concept to enact data dependencies in internal processes. We present a modeling guideline to derive local process models from a given choreography; their operational semantics allows to correctly enact the entire choreography from the derived models only including the exchange of data. Targeting on successful interactions, we discuss means to ensure correct process choreography modeling. Finally, we implemented our approach by extending the camunda BPM platform with our approach and show its feasibility by realizing all service interaction patterns using only model-based concepts. (C) 2015 Elsevier Ltd. All rights reserved. KW - Process modeling KW - Data modeling KW - Process choreographies KW - Data exchange KW - BPMN KW - SQL Y1 - 2015 U6 - https://doi.org/10.1016/j.is.2015.03.008 SN - 0306-4379 SN - 1873-6076 VL - 53 SP - 296 EP - 329 PB - Elsevier CY - Oxford ER -