The Experts below are selected from a list of 3215973 Experts worldwide ranked by ideXlab platform
Jan Mendling - One of the best experts on this subject based on the ideXlab platform.
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supporting Process Model validation through natural language generation
2014Co-Authors: Henrik Leopold, Jan Mendling, Artem PolyvyanyyAbstract:The design and development of Process-aware information systems is often supported by specifying requirements as business Process Models. Although this approach is generally accepted as an effective strategy, it remains a fundamental challenge to adequately validate these Models given the diverging skill set of domain experts and system analysts. As domain experts often do not feel confident in judging the correctness and completeness of Process Models that system analysts create, the validation often has to regress to a discourse using natural language. In order to support such a discourse appropriately, so-called verbalization techniques have been defined for different types of conceptual Models. However, there is currently no sophisticated technique available that is capable of generating natural-looking text from Process Models. In this paper, we address this research gap and propose a technique for generating natural language texts from business Process Models. A comparison with manually created Process descriptions demonstrates that the generated texts are superior in terms of completeness, structure, and linguistic complexity. An evaluation with users further demonstrates that the texts are very understandable and effectively allow the reader to infer the Process Model semantics. Hence, the generated texts represent a useful input for Process Model validation.
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a study on the effects of routing symbol design on Process Model comprehension
2013Co-Authors: Kathrin Figl, Jan C Recker, Jan MendlingAbstract:Process Modeling grammars are used to create Models of business Processes. In this paper, we discuss how different routing symbol designs affect an individual's ability to comprehend Process Models. We conduct an experiment with 154 students to ascertain which visual design principles influence Process Model comprehension. Our findings suggest that design principles related to perceptual discriminability and pop out improve comprehension accuracy. Furthermore, semantic transparency and aesthetic design of symbols lower the perceived difficulty of comprehension. Our results inform important principles about notational design of Process Modeling grammars and the effective use of Process Modeling in practice. Highlights? Visual notation design principles influence Process Model comprehension. ? Perceived pop out of symbols affects Process Model comprehension. ? Perceived perceptual discriminability of symbols affects Process Model comprehension. ? Effects of individual perception of the symbol are stronger than the symbol itself.
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managing Process Model complexity via abstract syntax modifications
2011Co-Authors: M La Rosa, Hajo A. Reijers, Jan Mendling, Petia Wohed, Arthur H M Ter Hofstede, W M P Van Der AalstAbstract:As a result of the growing adoption of Business Process Management (BPM) technology, different stakeholders need to understand and agree upon the Process Models that are used to configure BPM systems. However, BPM users have problems dealing with the complexity of such Models. Therefore, the challenge is to improve the comprehension of Process Models. While a substantial amount of literature is devoted to this topic, there is no overview of the various mechanisms that exist to deal with managing complexity in (large) Process Models. As a result, it is hard to obtain an insight into the degree of support offered for complexity reducing mechanisms by state-of-the-art languages and tools. This paper focuses on complexity reduction mechanisms that affect the abstract syntax of a Process Model, i.e., the formal structure of Process Model elements and their interrelationships. These mechanisms are captured as patterns so that they can be described in their most general form, in a language- and tool-independent manner. The paper concludes with a comparative overview of the degree of support for these patterns offered by state-of-the-art languages and tools, and with an evaluation of the patterns from a usability perspective, as perceived by BPM practitioners.
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survey paper refactoring large Process Model repositories
2011Co-Authors: Barbara Weber, Jan Mendling, Manfred Reichert, Hajo A. ReijersAbstract:Abstract: With the increasing adoption of Process-aware information systems, large Process Model repositories have emerged. Typically, the Models in such repositories are re-aligned to real-world events and demands through adaptation on a day-to-day basis. This bears the risk of introducing Model redundancies and of unnecessarily increasing Model complexity. If no continuous investment is made in keeping Process Models simple, changes will become more difficult and error-prone over time. Although refactoring techniques are widely used in software engineering to address similar problems, so far, no comparable state-of-the-art has evolved in the business Process management domain. Process designers either have to refactor Process Models by hand or are simply unable to apply respective techniques at all. This paper proposes a catalogue of Process Model ''smells'' for identifying refactoring opportunities. In addition, it introduces a set of behavior-preserving techniques for refactoring large Process repositories. The proposed refactorings enable Process designers to effectively deal with Model complexity by making Process Models better understandable and easier to maintain. The refactorings have been evaluated using large Process repositories from the healthcare and automotive domain. To demonstrate the feasibility of the refactoring techniques, a proof-of-concept prototype has been implemented.
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APROMORE : an advanced Process Model repository
2011Co-Authors: Marcello La Rosa, Hajo A. Reijers, Wil M. P. Van Der Aalst, Remco M. Dijkman, Jan Mendling, Marlon Dumas, Luciano García-bañuelosAbstract:Business Process Models are becoming available in large numbers due to their widespread use in many industrial applications such as enterprise and quality engineering projects. On the one hand, this raises a challenge as to their proper management: how can it be ensured that the proper Process Model is always available to the interested stakeholder? On the other hand, the richness of a large set of Process Models also offers opportunities, for example with respect to the re-use of existing Model parts for new Models. This paper describes the functionality and architecture of an advanced Process Model repository, named APROMORE. This tool brings together a rich set of features for the analysis, management and usage of large sets of Process Models, drawing from state-of-the art research in the field of Process Modeling. A prototype of the platform is presented in this paper, demonstrating its feasibility, as well as an outlook on the further development of APROMORE.
Guido Palazzo - One of the best experts on this subject based on the ideXlab platform.
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corporate social responsibility a Process Model of sensemaking
2009Co-Authors: Kunal Basu, Guido PalazzoAbstract:In contrast to prevalent Models of CSR that are content based, we propose a Process Model of organizational sense-making that explains how managers think, discuss and act with respect to their key stakeholders and the world at large. A set of cognitive, linguistic, and conative dimensions are proposed to identify such an intrinsic orientation that guides CSR-related activities. Recognizing patterns of interrelationships among these dimensions might lead to a better understanding of a firm's CSR impact, as well as generate a rich research agenda that links key organizational features to CSR character.
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corporate social responsibility a Process Model of sensemaking
2008Co-Authors: Kunal Basu, Guido PalazzoAbstract:In contrast to content-based Models of corporate social responsibility (CSR), we propose a Process Model of organizational sensemaking explaining how managers think, discuss, and act with respect to their key stakeholders and the world at large. We also propose a set of cognitive, linguistic, and conative dimensions to identify such an intrinsic orientation that guides CSR-related activities. Recognizing patterns of interrelationships among these dimensions might lead to a better understanding of a firm's CSR impact and generate a rich research agenda that links key organizational features to CSR character.
Kunal Basu - One of the best experts on this subject based on the ideXlab platform.
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corporate social responsibility a Process Model of sensemaking
2009Co-Authors: Kunal Basu, Guido PalazzoAbstract:In contrast to prevalent Models of CSR that are content based, we propose a Process Model of organizational sense-making that explains how managers think, discuss and act with respect to their key stakeholders and the world at large. A set of cognitive, linguistic, and conative dimensions are proposed to identify such an intrinsic orientation that guides CSR-related activities. Recognizing patterns of interrelationships among these dimensions might lead to a better understanding of a firm's CSR impact, as well as generate a rich research agenda that links key organizational features to CSR character.
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corporate social responsibility a Process Model of sensemaking
2008Co-Authors: Kunal Basu, Guido PalazzoAbstract:In contrast to content-based Models of corporate social responsibility (CSR), we propose a Process Model of organizational sensemaking explaining how managers think, discuss, and act with respect to their key stakeholders and the world at large. We also propose a set of cognitive, linguistic, and conative dimensions to identify such an intrinsic orientation that guides CSR-related activities. Recognizing patterns of interrelationships among these dimensions might lead to a better understanding of a firm's CSR impact and generate a rich research agenda that links key organizational features to CSR character.
Paul Grefen - One of the best experts on this subject based on the ideXlab platform.
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business Process Model repositories framework and survey
2012Co-Authors: Remco Dijkman, Paul GrefenAbstract:Context: Large organizations often run hundreds or even thousands of different business Processes. Managing such large collections of business Process Models is a challenging task. Software can assist in performing that task, by supporting common management functions such as storage, search and version management of Models. It can also provide advanced functions that are specific for managing collections of Process Models, such as managing the consistency of public and private Processes. Software that supports the management of large collections of business Process Models is called: business Process Model repository software. Objective: This paper contributes to the development of business Process Model repositories, by analyzing the state of the art. Method: To perform the analysis a literature survey and a comparison of existing (business Process Model) repository technology is performed. Result: The results of the state of the art analysis are twofold. First, a framework for business Process Model repositories is presented, which consists of a management Model and a reference architecture. The management Model lists the functionality that can be provided and the reference architecture presents the components that provide that functionality. Second, an analysis is presented of the extent to which existing business Process Model repositories implement the functionality from the framework. Conclusion: The results presented in the paper are valuable as a comprehensive overview of business Process Model repository functionality. In addition they form a basis for a future research agenda. We conclude that existing repositories focus on traditional functionality rather than exploiting the full potential of information management tools, thus we show that there is a strong basis for further research.
Marcello La Rosa - One of the best experts on this subject based on the ideXlab platform.
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interactive and incremental business Process Model repair
2017Co-Authors: Abel Armas Cervantes, Marcello La Rosa, Marlon Dumas, Nick Van Beest, Luciano GarciabanuelosAbstract:It is common for the observed behavior of a business Process to differ from the behavior captured in its corresponding Model, as workers devise workarounds to handle special circumstances, which over time become part of the norm. Process Model repair methods help Modelers to realign their Models with the observed behavior as recorded in an event log. Given a Process Model and an event log, these methods produce a new Process Model that more closely matches the log, while resembling the original Model as close as possible. Existing repair methods identify points in the Process where the log deviates from the Model, and fix these deviations by adding behavior to the Model locally. In their quest for automation, these methods often add too much behavior to the Model, resulting in Models that over-generalize the behavior in the log. This paper advocates for an interactive and incremental approach to Process Model repair, where differences between the Model and the log are visually displayed to the user, and the user repairs each difference manually based on the provided visual guidance. An empirical evaluation shows that the proposed method leads to repaired Models that avoid the over-generalization pitfall of state-of-the-art automated repair methods.
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fast detection of exact clones in business Process Model repositories
2013Co-Authors: Marlon Dumas, Marcello La Rosa, Luciano Garciabanuelos, Reina UbaAbstract:As organizations reach higher levels of business Process management maturity, they often find themselves maintaining very large Process Model repositories, representing valuable knowledge about their operations. A common practice within these repositories is to create new Process Models, or extend existing ones, by copying and merging fragments from other Models. We contend that if these duplicate fragments, a.k.a. ex- act clones, can be identified and factored out as shared subProcesses, the repository’s maintainability can be greatly improved. With this purpose in mind, we propose an indexing structure to support fast detection of clones in Process Model repositories. Moreover, we show how this index can be used to efficiently query a Process Model repository for fragments. This index, called RPSDAG, is based on a novel combination of a method for Process Model decomposition (namely the Refined Process Structure Tree), with established graph canonization and string matching techniques. We evaluated the RPSDAG with large Process Model repositories from industrial practice. The experiments show that a significant number of non-trivial clones can be efficiently found in such repositories, and that fragment queries can be handled efficiently.
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APROMORE : an advanced Process Model repository
2011Co-Authors: Marcello La Rosa, Hajo A. Reijers, Wil M. P. Van Der Aalst, Remco M. Dijkman, Jan Mendling, Marlon Dumas, Luciano García-bañuelosAbstract:Business Process Models are becoming available in large numbers due to their widespread use in many industrial applications such as enterprise and quality engineering projects. On the one hand, this raises a challenge as to their proper management: how can it be ensured that the proper Process Model is always available to the interested stakeholder? On the other hand, the richness of a large set of Process Models also offers opportunities, for example with respect to the re-use of existing Model parts for new Models. This paper describes the functionality and architecture of an advanced Process Model repository, named APROMORE. This tool brings together a rich set of features for the analysis, management and usage of large sets of Process Models, drawing from state-of-the art research in the field of Process Modeling. A prototype of the platform is presented in this paper, demonstrating its feasibility, as well as an outlook on the further development of APROMORE.
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managing Process Model complexity part i concrete syntax
2009Co-Authors: Marcello La Rosa, Arthur H M Ter Hofstede, Petia WohedAbstract:While Business Process Management (BPM) is an established discipline, the increased adoption of BPM technology in recent years has introduced new challenges. One challenge concerns dealing with Process Model complexity in order to improve the understanding of a Process Model by stakeholders and Process analysts. Features for dealing with this complexity can be classified in two categories: 1) those that are solely concerned with the appearance of the Model, and 2) those that in essence change the structure of the Model. In this paper we focus on the former category and present a collection of patterns that generalize and conceptualize various existing features. The paper concludes with a detailed analysis of the degree of support of a number of state-of-the-art languages and language implementations for these patterns.
