Time filter

Source Type

Vienna, Austria

Malinova M.,WU Vienna
Lecture Notes in Business Information Processing

Organizations are leaning towards becoming more processoriented in order to better serve their customers. An approach that enables achieving such process orientation is business process management (BPM). In this context business process modeling is used to graphically represent business processes. As a result organizations are faced with large collections of process models. The process models are typically organized in a process architecture which comprises a number of levels. The most top level is commonly the process map where all processes of one organization and the relations between them are depicted in a very abstract manner. Whereas there are well-defined languages for modelling the details of singular processes (e.g. BPMN, EPC), such a language for supporting the design of process maps is still missing. As a result, we are faced with a vast variety of process map designs from practice, as practitioners typically rely on their own creativity when undertaking this task. This study addresses this gap by using various methods to develop a language for process map design which will support practitioners to design their process maps in a standardized manner. © Springer International Publishing Switzerland 2015. Source

Leopold H.,Humboldt University of Berlin | Mendling J.,WU Vienna | Reijers H.A.,TU Eindhoven | La Rosa M.,Queensland University of Technology
Information Systems

The increased adoption of business process management approaches, tools, and practices has led organizations to accumulate large collections of business process models. These collections can easily include from a hundred to a thousand models, especially in the context of multinational corporations or as a result of organizational mergers and acquisitions. A concrete problem is thus how to maintain these large repositories in such a way that their complexity does not hamper their practical usefulness as a means to describe and communicate business operations. This paper proposes a technique to automatically infer suitable names for business process models and fragments thereof. This technique is useful for model abstraction scenarios, as for instance when user-specific views of a repository are required, or as part of a refactoring initiative aimed to simplify the repository's complexity. The technique is grounded in an adaptation of the theory of meaning to the realm of business process models. We implemented the technique in a prototype tool and conducted an extensive evaluation using three process model collections from practice and a case study involving process modelers with different experience. © 2013 Elsevier Ltd. Source

Sanchez-Gonzalez L.,University of Castilla - La Mancha | Garcia F.,University of Castilla - La Mancha | Ruiz F.,University of Castilla - La Mancha | Mendling J.,WU Vienna
Information and Software Technology

Context: Quality assurance of business process models has been recognized as an important factor for modeling success at an enterprise level. Since quality of models might be subject to different interpretations, it should be addressed in the most objective way, by the application of measures. That said, however, assessment of measurement results is not a straightforward task: it requires the identification of relevant threshold values, which are able to distinguish different levels of process model quality. Objective: Since there is no consensual technique for obtaining these values, this paper proposes the definition of thresholds for gateway complexity measures based on the application of statistical techniques on empirical data. Method: To this end, we conducted a controlled experiment that evaluates quality characteristics of understandability and modifiability of process models in two different runs. The thresholds obtained were validated in a replication of the experiment. Results: The thresholds for gateway complexity measures are instrumental as guidelines for novice modelers. A tool for supporting business process model measurement and improvement is described, based on the automatic application of measurement, and assessment as well as derivation of advice about how to improve the quality of the model. Conclusion: It is concluded that thresholds classified business process models in the specific level of understandability and modifiability, so these thresholds were good and useful for decision-making. © 2012 Elsevier B.V. All rights reserved. Source

Leopold H.,Humboldt University of Berlin | Mendling J.,WU Vienna | Polyvyanyy A.,Hasso Plattner Institute
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Process Modeling is a widely used concept for understanding, documenting and also redesigning the operations of organizations. The validation and usage of process models is however affected by the fact that only business analysts fully understand them in detail. This is in particular a problem because they are typically not domain experts. In this paper, we investigate in how far the concept of verbalization can be adapted from object-role modeling to process models. To this end, we define an approach which automatically transforms BPMN process models into natural language texts and combines different techniques from linguistics and graph decomposition in a flexible and accurate manner. The evaluation of the technique is based on a prototypical implementation and involves a test set of 53 BPMN process models showing that natural language texts can be generated in a reliable fashion. © 2012 Springer-Verlag Berlin Heidelberg. Source

Leopold H.,Humboldt University of Berlin | Mendling J.,WU Vienna
Lecture Notes in Business Information Processing

Although several approaches for service identification have been defined in research and practice, there is a notable lack of automatic analysis techniques. In this paper we take the integrated approach by Kohlborn et al. as a starting point, and combine different analysis techniques in a novel way. Our contribution is an automated approach for the identification and detailing of service candidates. Its output is meant to provide a transparent basis for making decisions about which services to implement with which priority. The approach has been implemented and evaluated for an industry collection of process models. © 2012 Springer-Verlag. Source

Discover hidden collaborations