BPMNDiffViz: A Tool for BPMN Models Comparison
Automatic comparison of business processes plays an important role
in their analysis and optimization. In this paper we present the web-based tool
BPMNDiffViz, that finds business processes discrepancies and visualizes them.
BPMN (Business Process Model and Notation) 2.0 - one of the most commonly
used notations for process modeling was chosen as a representation. This tool
implements a structural graph-based comparison analysis using an A* algorithm.
Process mining techniques relate observed behavior to modeled behavior, e.g., the automatic discovery of a process model based on an event log. Process mining is not limited to process discovery and also includes conformance checking and model enhancement. Conformance checking techniques are used to diagnose the deviations of the observed behavior as recorded in the event log from some process model. Model enhancement allows to extend process models using additional perspectives, conformance and performance information. In recent years, BPMN (Business Process Model and Notation) 2.0 has become a de facto standard for modeling business processes in industry. This paper presents the BPMN support current in ProM. ProM is the most known and used open-source process mining framework. ProM’s functionalities of discovering, analyzing and enhancing BPMN models are discussed. Support of the BPMN 2.0 standard will help ProM users to bridge the gap between formal models (such as Petri nets, causal nets and others) and process models used by practitioners.
Monitoring and analyzing the operation of enterprises is a key capability of Governance, Risk, and Compliance (GRC) solutions and is relevant for high-risk organizations, such as financial services. The potential of state-of-the-art process mining (data-driven process analysis) is limited by quality issues with transactional data registration and extraction. A novel approach is proposed to address these challenges: the Enterprise Operational Analysis (EOA) founded in DEMO and the Enterprise Operating System (EOS). The EOS is a software system based on enterprise engineering, and stores, interprets, and executes DEMO models as native source code. The EOS provides workflow-like capabilities and supports EOA. Combining the EOS with state-of-the-art process mining offers the following advantages: guaranteed completeness of analysis, elimination of ‘mining’ for events, facilitating process conformance checking, analysis on various levels of granularity from various perspectives. It enables enterprises to systematically analyze, improve and deploy business procedures. A professional business case is analyzed. © Springer International Publishing Switzerland 2015.
BPM 2013 was the 11th conference in a series that provides a prestigious forum for researchers and practitioners in the field of business process management (BPM). The conference was organized by Tsinghua University, China, and took place during August 26–30, 2013, in Beijing, China. Compared to previous editions of BPM, this year we noted a lower focus by authors on topics like process modeling, while we also observed a considerable growth of submissions regarding areas like process mining, conformance/compliance checking, and process model matching. The integrated consideration of processes and data remains popular, and novel viewpoints focus, among others, on data completeness in business processes, the modeling and runtime support of event streaming in business processes, and business process architectures.
The research reported in this paper aims at introducing principally new approach to the design of traceability applications for supply network by the means of semantically consistent and conceptually aligned abstractions of business-processes, data, and software architecture. To derive needed abstractions, proposed approach uses the general principles of enterprise ontology for meta-description of business objects and processes, conceptual modeling techniques for data representation in a universal format, and multi-agent solution adjusted with an ontological view on data model and business processes of organizations. The method for data modeling consistent with the business view on supply chain activities is introduced and exemplified. Agent-based approach to tracing data analysis and particular model of intellectual agents are presented.
The books contains papers presented at the BPM Demo sessions 2013, co-located with 11th International Conference on Business Process Management 2013.
Recognizing the challenges that a contemporary university faces, an inter-faculty group of researchers performed the analysis of organizational and management approach in one of Russia’s universities and modeled existing business processes. The university is a multi-campus organization and to manage it efficiently it is necessary to make transition from the traditional management model to a more flexible - network structure. This paper focuses on development of the Goal Tree and designing of AS-IS model. The researchers applied IBM Business Modeler which allows to execute modeling and simulation of business processes. The practical value of the proposed approach is that it enables the university management to improve performance and effectiveness.
This volume contains a set of dedicated scientific contributions to the 11th International Conference on Perspectives in Business Informatics Research. The peer-reviewed and tentatively selected papers cover a broad scope of modern research in Business Informatics, and include new results in such domains as: Knowledge Management and Semantic Web, Business and information systems development, Business, people and systems interoperability and Business intelligence.
In 2012 the conference is hosted by National Research University Higher School of Economics (NRU HSE) in Nizhny Novgorod. Our university is Russia’s leader in the field of scientific research conducted at the junction of Management, Economics and Governance of IT. In particular, NRU HSE is the originator and the promoter of Business Informatics in Russia. Therefore NRU HSE pays particular attention to sustainable international cooperation and leverages scientific research in that area.
We strongly believe that materials presented will contribute to further advances in Business Informatics and will foster intensive scientific cooperation between researchers.
In order to support management functions in dynamically changing corporate enterprises, adequate information systems need to be built, automating desirable adaptation of inter- and intra- organizational business processes. This paper therefore introduces a new approach to the design of multi-agent information systems meant for planning, discovering, monitoring deviations, and optimizing business processes. Expected qualitative breakthrough in the system’s capacity is based on the matching of its constructional and behavioral perspective with the ontological model of supported enterprise. Besides, conformity between organizational and information systems is supplemented by their conceptual alignment in the description of states and processes. The method of multi-agent framework construction and its application for traceability in supply chains are presented in this paper.
Process mining is a relatively new field of computer science, which deals with process discovery and analysis based on event logs. In this paper we consider the problem of models and event logs conformance checking. Conformance checking is intensively studied in the frame of process mining research, but only models and event logs of the same granularity were considered in the literature. Here we present and justify the method of checking conformance between a high-level model (e.g. built by an expert) and a low-level log (generated by a system).