Meronymy-Based Aggregation of Activities in Business Process Models

Smirnov, Sergey; Dijkman, Remco; Mendling, Jan; Weske, Mathias

doi:10.1007/978-3-642-16373-9_1

Cited by 30 publications

(31 citation statements)

References 24 publications

(43 reference statements)

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“…Also techniques for semantic annotation have been proposed [62,63,64,65]. An intrinsic problem of matching business process models is the complexity of the search space once 1:n matches are investigated [66,67,68]. Our work complements this stream of research.…”

Section: Related Workmentioning

confidence: 83%

On the refactoring of activity labels in business process models

Leopold

Smirnov

Mendling

2012

Information Systems

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Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred models and dozens of often hardly trained modelers calls for automated quality assurance. While formal properties of control flow can easily be checked by existing tools, there is a notable gap for checking the quality of the textual content of models, in particular, its activity labels. In this paper, we address the problem of activity label quality in business process models. We designed a technique for the recognition of labeling styles, and the automatic refactoring of labels with quality issues. More specifically, we developed a parsing algorithm that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser. Using three business process model collections from practice with differing labeling style distributions, we demonstrate the applicability of our technique. In comparison to a straightforward application of standard natural language tools, our technique provides much more stable results. As an outcome, the technique shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.

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Section: Related Workmentioning

confidence: 83%

On the refactoring of activity labels in business process models

Leopold

Smirnov

Mendling

2012

Information Systems

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“…To assist analysts in this task, it may be desirable to automatically suggest possible labels for the sub-processes to be extracted. Such suggestions could be derived by analyzing the labels of the tasks inside the clone and using meronymy relations to compute aggregate labels as investigated in [31].…”

Section: Resultsmentioning

confidence: 99%

Fast detection of exact clones in business process model repositories

Dumas

García‐Bañuelos

Rosa

et al. 2013

Information Systems

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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. exact 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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“…Different approaches for matching corresponding activities of different models are integrated in the ICoP framework [42]. The content of activity labels is also used for defining suitable abstractions of a process model [43]. Natural language processing techniques are applied in [13].…”

Section: Related Workmentioning

confidence: 99%

Action patterns in business process model repositories

Smirnov

Weidlich

Mendling

et al. 2012

Computers in Industry

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Business process models are extensively used in companies to document and improve business operations. In essence, there are two major challenges. The increasing number of staff with little modeling expertise involved in model design requires new concepts for quality assurance. Moreover, the huge number of process models typically maintained in a model repository impedes extraction of general process knowledge, which can be used for assistance.This article investigates action patterns as a means to address these challenges. Action patterns capture chunks of actions often appearing together in business processes. We formalize the action pattern concept, including several types of behavioral connection, different abstraction levels, and varying action sensitivity to business objects. Our concepts are evaluated based on a prototypical implementation, which we use to extract various types of action patterns from two industrial process model collections. The results demonstrate that action patterns occurring in different application domains can be discovered.

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Meronymy-Based Aggregation of Activities in Business Process Models

Cited by 30 publications

References 24 publications

On the refactoring of activity labels in business process models

On the refactoring of activity labels in business process models

Fast detection of exact clones in business process model repositories

Action patterns in business process model repositories

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