Quotation Leopold, Henrik, Mendling, Jan, Pittke, Fabian. 2015. Automatic Detection and Resolution of Lexical Ambiguity in Process Models. IEEE Transactions on Software Engineering 41 (6), 526-544.




System-related engineering tasks are often conducted using process models. In this context, it is essential that these models do not contain structural or terminological inconsistencies. To this end, several automatic analysis techniques have been proposed to support quality assurance. While formal properties of control flow can be checked in an automated fashion, there is a lack of techniques addressing textual quality. More specifically, there is currently no technique available for handling the issue of lexical ambiguity caused by homonyms and synonyms. In this paper, we address this research gap and propose a technique that detects and resolves lexical ambiguities in process models. We evaluate the technique using three process model collections from practice varying in size, domain, and degree of standardization. The evaluation demonstrates that the technique significantly reduces the level of lexical ambiguity and that meaningful candidates are proposed for resolving ambiguity.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal IEEE Transactions on Software Engineering
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new INF-A, STRAT-B, WH-B
Language English
Title Automatic Detection and Resolution of Lexical Ambiguity in Process Models
Volume 41
Number 6
Year 2015
Page from 526
Page to 544
Reviewed? Y
URL http://doi.ieeecomputersociety.org/10.1109/TSE.2015.2396895
DOI http://dx.doi.org/10.1109/TSE.2015.2396895


Mendling, Jan (Details)
Pittke, Fabian (Former researcher)
Leopold, Henrik
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
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