Improvement of Quality for Business Process Modeling Driven by Guidelines | Zendy

Fouzia Kahloun | Zendy; Sonia Ayachi Ghannouchi | Zendy

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Improvement of Quality for Business Process Modeling Driven by Guidelines

Author(s) -

Fouzia Kahloun,

Sonia Ayachi Ghannouchi

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.07.207

Subject(s) - computer science , quality (philosophy) , process (computing) , task (project management) , business process , context (archaeology) , process modeling , business process modeling , identification (biology) , business rule , quality management , data mining , process management , work in process , systems engineering , programming language , operations management , paleontology , management system , philosophy , botany , business , epistemology , engineering , economics , biology

The improvement of quality in business process models should be objective by applying measures. However, an evaluation of measurement results is not a simple task. It also requires the identification of relevant threshold values and indicators, which make it possible to distinguish between different levels of quality for BP models. In this context, a prototype named BPMoQualAssess (Business Process Model Quality Assess) is described. This prototype is including useful metrics defining the syntactic aspect of BP models also their threshold values. The obtained results are guidelines containing recommendations that aim at improving an input model by modifying it in order to obtain a higher level of quality.

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