Novo artigo: Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process Descriptions

Silva T.S., Thom L.H., Weber A., de Oliveira J.P.M., Fantinato M. (2018) Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process Descriptions. In: Panetto H., Debruyne C., Proper H., Ardagna C., Roman D., Meersman R. (eds) CoopIS, On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science, vol 11229. Springer

Abstract

Business process management has become an increasingly present activity in organizations. In this context, approaches that assist in the identification and documentation of business processes are presented as relevant efforts to make organizations more competitive. To achieve these goals, business process descriptions are considered as a useful artifact in both identifying business processes and complementing business process documentation. However, approaches that automatically generate business process descriptions do not explain how the sentence templates that compose the text were selected. This selection influences the quality of the text, as it may produce ambiguous or non-recurring sentences, which could make it difficult to understand the process. In this work, we present an empirical analysis of 64 business process descriptions in order to find recurrent sentence templates and filter them for ambiguity issues. The analysis made it possible to find 101 sentence templates divided into 29 categories. In addition, 13 of the sentence templates were considered to have ambiguity issues based on the adopted criteria. These findings may support other approaches in generating process descriptions more suitable for process analysts and domain experts.

Keywords

Business Process Model and Notation Natural language processing Sentence template Ambiguity 

Novo artigo: An Interface Prototype Proposal to a Semiautomatic Process Model Verification Method Based on Process Modeling Guidelines

Cite this paper as:
Júnior V.H.G., Dani V.S., Avila D.T., Thom L.H., de Oliveira J.P.M., Fantinato M. (2018) An Interface Prototype Proposal to a Semiautomatic Process Model Verification Method Based on Process Modeling Guidelines. In: Hammoudi S., Śmiałek M., Camp O., Filipe J. (eds) Enterprise Information Systems. ICEIS 2017. Lecture Notes in Business Information Processing, vol 321. Springer, Cham

DOI https://doi.org/10.1007/978-3-319-93375-7_28
Publisher NameSpringer, Cham
Print ISBN 978-3-319-93374-0
Online ISBN 
978-3-319-93375-7

Abstract

The design of comprehensible process models is a very complex task. In order to obtain them, process analysts usually rely on process modeling guidelines. This is specially true when dealing with collections counting up to hundreds of process models, since querying or organizing such a collection is not easy. In this paper we report a method presented in an earlier work to verify if a process model is following process modeling guidelines. In addition we propose an interface prototype to display which process models are not following which guidelines. A collection of 31 process models were used to validate the identification method and the results shows that 23 of these process models contains at least one guideline violation.

Keywords

Business process, BPMN, Ontology, Process model quality, Modeling guidelines, Information visualization