@article{YousfiWeske2019, author = {Yousfi, Alaaeddine and Weske, Mathias}, title = {Discovering commute patterns via process mining}, series = {Knowledge and Information Systems}, volume = {60}, journal = {Knowledge and Information Systems}, number = {2}, publisher = {Springer}, address = {London}, issn = {0219-1377}, doi = {10.1007/s10115-018-1255-1}, pages = {691 -- 713}, year = {2019}, abstract = {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.}, language = {en} } @article{NikajWeskeMendling2019, author = {Nikaj, Adriatik and Weske, Mathias and Mendling, Jan}, title = {Semi-automatic derivation of RESTful choreographies from business process choreographies}, series = {Software and systems modeling}, volume = {18}, journal = {Software and systems modeling}, number = {2}, publisher = {Springer}, address = {Heidelberg}, issn = {1619-1366}, doi = {10.1007/s10270-017-0653-2}, pages = {1195 -- 1208}, year = {2019}, abstract = {Enterprises reach out for collaborations with other organizations in order to offer complex products and services to the market. Such collaboration and coordination between different organizations, for a good share, is facilitated by information technology. The BPMN process choreography is a modeling language for specifying the exchange of information and services between different organizations at the business level. Recently, there is a surging use of the REST architectural style for the provisioning of services on the web, but few systematic engineering approach to design their collaboration. In this paper, we address this gap in a comprehensive way by defining a semi-automatic method for the derivation of RESTful choreographies from process choreographies. The method is based on natural language analysis techniques to derive interactions from the textual information in process choreographies. The proposed method is evaluated in terms of effectiveness resulting in the intervention of a web engineer in only about 10\% of all generated RESTful interactions.}, language = {en} } @article{PufahlWeske2019, author = {Pufahl, Luise and Weske, Mathias}, title = {Batch activity: enhancing business process modeling and enactment with batch processing}, series = {Computing}, volume = {101}, journal = {Computing}, number = {12}, publisher = {Springer}, address = {Wien}, issn = {0010-485X}, doi = {10.1007/s00607-019-00717-4}, pages = {1909 -- 1933}, year = {2019}, abstract = {Organizations strive for efficiency in their business processes by process improvement and automation. Business process management (BPM) supports these efforts by capturing business processes in process models serving as blueprint for a number of process instances. In BPM, process instances are typically considered running independently of each other. However, batch processing-the collectively execution of several instances at specific process activities-is a common phenomenon in operational processes to reduce cost or time. Currently, batch processing is organized manually or hard-coded in software. For allowing stakeholders to explicitly represent their batch configurations in process models and their automatic execution, this paper provides a concept for batch activities and describes the corresponding execution semantics. The batch activity concept is evaluated in a two-step approach: a prototypical implementation in an existing BPM System proves its feasibility. Additionally, batch activities are applied to different use cases in a simulated environment. Its application implies cost-savings when a suitable batch configuration is selected. The batch activity concept contributes to practice by allowing the specification of batch work in process models and their automatic execution, and to research by extending the existing process modeling concepts.}, language = {en} } @article{BazhenovaZerbatoOlibonietal.2019, author = {Bazhenova, Ekaterina and Zerbato, Francesca and Oliboni, Barbara and Weske, Mathias}, title = {From BPMN process models to DMN decision models}, series = {Information systems}, volume = {83}, journal = {Information systems}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0306-4379}, doi = {10.1016/j.is.2019.02.001}, pages = {69 -- 88}, year = {2019}, abstract = {The interplay between process and decision models plays a crucial role in business process management, as decisions may be based on running processes and affect process outcomes. Often process models include decisions that are encoded through process control flow structures and data flow elements, thus reducing process model maintainability. The Decision Model and Notation (DMN) was proposed to achieve separation of concerns and to possibly complement the Business Process Model and Notation (BPMN) for designing decisions related to process models. Nevertheless, deriving decision models from process models remains challenging, especially when the same data underlie both process and decision models. In this paper, we explore how and to which extent the data modeled in BPMN processes and used for decision-making may be represented in the corresponding DMN decision models. To this end, we identify a set of patterns that capture possible representations of data in BPMN processes and that can be used to guide the derivation of decision models related to existing process models. Throughout the paper we refer to real-world healthcare processes to show the applicability of the proposed approach. (C) 2019 Elsevier Ltd. All rights reserved.}, language = {en} } @article{YousfiBatoulisWeske2019, author = {Yousfi, Alaaeddine and Batoulis, Kimon and Weske, Mathias}, title = {Achieving Business Process Improvement via Ubiquitous Decision-Aware Business Processes}, series = {ACM Transactions on Internet Technology}, volume = {19}, journal = {ACM Transactions on Internet Technology}, number = {1}, publisher = {Association for Computing Machinery}, address = {New York}, issn = {1533-5399}, doi = {10.1145/3298986}, pages = {19}, year = {2019}, abstract = {Business process improvement is an endless challenge for many organizations. As long as there is a process, it must he improved. Nowadays, improvement initiatives are driven by professionals. This is no longer practical because people cannot perceive the enormous data of current business environments. Here, we introduce ubiquitous decision-aware business processes. They pervade the physical space, analyze the ever-changing environments, and make decisions accordingly. We explain how they can be built and used for improvement. Our approach can be a valuable improvement option to alleviate the workload of participants by helping focus on the crucial rather than the menial tasks.}, language = {en} }