A comparative assessment of collaborative business process verification approaches

Authors: Kasse, J.P., Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29340/

Start date: 18 September 2017

Journal: Springer

Industry 4.0 is a key strategic trend of the economy. Virtual factories are key building blocks for Industry 4.0 where product design processes, manufacturing processes and general collaborative business processes across factories and enterprises are integrated. In the context of EU H2020 FIRST (vF Interoperation suppoRting buSiness innovaTion) project, end users of vFs are not experts in business process modelling to guarantee correct collaborative business processes for realizing execution. To enable automatic execution of business processes, verification is an important step at the business process design stage to avoid errors at runtime. Research in business process model verification has yielded a plethora of approaches in form of languages and tools that are based on Petri nets family and temporal logic. However, no report specifically targets and presents a comparative assessment of these approaches based on criteria as one we propose. In this paper we present an assessment of the most common verification approaches based on their expressibility, flexibility, suitability and complexity. We also look at how big data impacts the business process verification approach in a data-rich world.

This data was imported from Scopus:

Authors: Kasse, J.P., Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29340/

Journal: IFIP Advances in Information and Communication Technology

Volume: 506

Pages: 355-367

ISBN: 9783319651507

ISSN: 1868-4238

DOI: 10.1007/978-3-319-65151-4_33

© IFIP International Federation for Information Processing 2017. Industry 4.0 is a key strategic trend of the economy. Virtual factories are key building blocks for Industry 4.0 where product design processes, manufacturing processes and general collaborative business processes across factories and enterprises are integrated. In the context of EU H2020 FIRST (vF Interoperation suppoRting buSiness innovaTion) project, end users of vFs are not experts in business process modelling to guarantee correct collaborative business processes for realizing execution. To enable automatic execution of business processes, verification is an important step at the business process design stage to avoid errors at runtime. Research in business process model verification has yielded a plethora of approaches in form of languages and tools that are based on Petri nets family and temporal logic. However, no report specifically targets and presents a comparative assessment of these approaches based on criteria as one we propose. In this paper we present an assessment of the most common verification approaches based on their expressibility, flexibility, suitability and complexity. We also look at how big data impacts the business process verification approach in a data-rich world.

This data was imported from Web of Science (Lite):

Authors: Kasse, J.P., Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29340/

Journal: COLLABORATION IN A DATA-RICH WORLD

Volume: 506

Pages: 355-367

eISSN: 1868-422X

ISSN: 1868-4238

DOI: 10.1007/978-3-319-65151-4_33

The data on this page was last updated at 05:09 on February 24, 2020.