Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Moreno-Montes de Oca, I., Snoeck, M., Reijers, H. A., & Rodríguez-Morffi, A. (2015). A systematic literature review of studies on business process modeling quality. Information and Software Technology, 58, 187-205. DOI: 10.1016/j.infsof.2014.07.011 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. b s t r a c tContext: Business process modeling is an essential part of understanding and redesigning the activities that a typical enterprise uses to achieve its business goals. The quality of a business process model has a significant impact on the development of any enterprise and IT support for that process.Objective: Since the insights on what constitutes modeling quality are constantly evolving, it is unclear whether research on business process modeling quality already covers all major aspects of modeling quality. Therefore, the objective of this research is to determine the state of the art on business process modeling quality: What aspects of process modeling quality have been addressed until now and which gaps remain to be covered? Method: We performed a systematic literature review of peer reviewed articles as published between 2000 and August 2013 on business process modeling quality. To analyze the contributions of the papers we use the Formal Concept Analysis technique. Results: We found 72 studies addressing quality aspects of business process models. These studies were classified into different dimensions: addressed model quality type, research goal, research method, and type ...

BPMN has become the de facto standard notation for process modelling. Past research has demonstrated the need for modelling guidelines to improve the quality of process models. In previous research we collected a set of practical guidelines through a systematic literature survey and classified those in different categories. In this paper we test a selection of BPMN tools for their support for these guidelines, and report on existing support per category of guideline and the kinds of support used by the tool to support the different guidelines. The results give insight into which domains of guidelines are well supported and which lack support from BPMN tools. Further, different preferences of the vendors are observed regarding the methods of support they implement in their tools.

International audienceBusiness process modeling is one of the first steps towards achieving organizational goals in the requirements engineering phase. This is why business process modeling quality is an essential aspect for the development and technical support of any company. Modeling experts rely mainly on their personal experience, and the tacit knowledge. In order to help less experienced modelers, many authors have formulated modeling guidelines as a mean to achieve better model quality. Our research goal is to assess the acceptance of these guidelines for teaching purposes through a survey. To achieve this objective we investigate usefulness, ease of use and the intention to use of a collected set of pragmatic guidelines according to the technology acceptance model by means of a survey amongst Cuban PhD students. Results reveal the "best" and "worst" guidelines as perceived by novice modelers. We also witnessed that perceived ease of use has an important influence on the perceived usefulness, and, at the same time, both influence the novice modelers’ intention to use the guidelines. This implies that to ensure usage of the guidelines by junior modelers, they should be understandable and their utility should be well-motivated