PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Sanne U., Witschel H. F., Ferrari A., Gnesi S. Ensuring action: identifying unclear actor specifications in textual business process descriptions. In: IC3K 2016 - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Porto, Portugal, 9-11 November 2016). Proceedings, vol. 3 pp. 140 - 147. Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Jorge Bernardino, Joaquim Filipe. SCITEPRESS, 2016.
 
 
Abstract
(English)
In many organisations, business process (BP) descriptions are available in the form of written procedures, or operational manuals. These documents are expressed in informal natural language, which is inherently open to different interpretations. Hence, the content of these documents might be incorrectly interpreted by those who have to put the process into practice. It is therefore important to identify language defects in written BP descriptions, to ensure that BPs are properly carried out. Among the potential defects, one of the most relevant for BPs is the absence of clear actors in action-related sentences. Indeed, an unclear actor might lead to a missing responsibility, and, in turn, to activities that are never performed. This paper aims at identifying unclear actors in BP descriptions expressed in natural language. To this end, we define an algorithm named ABIDE, which leverages rule-based natural language processing (NLP) techniques. We evaluate the algorithm on a manually annotated data-set of 20 real-world BP descriptions (1,029 sentences). ABIDE achieves a recall of 87%, and a precision of 56%. We consider these results promising. Improvements of the algorithm are also discussed in the paper.
URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220%2f0006040301400147
DOI: 10.5220/0006040301400147
Subject Business process management
Ambiguity
Natural language processing
Document quality
Quality assessment
D.2 SOFTWARE ENGINEERING
D.2.1 SOFTWARE ENGINEERING. Requirements/Specifications


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