Business Process Modelling Augmented: Model Driven transformation of User Stories to Processes

TitreBusiness Process Modelling Augmented: Model Driven transformation of User Stories to Processes
Publication TypeConference Paper
Year of Publication2020
AuthorsBaina, K, M. Hamlaoui, E, Kabbaj, H
Conference NameACM International Conference Proceeding Series
Mots-clésBusiness Process, Business process design, Business process model, Business process modelling, Intelligent systems, Iterative methodology, Iterative methods, Modeling languages, NAtural language processing, Natural language processing systems, Process design, Process Modeling, Software project
Abstract

The Purpose of our paper is to present a lightweight efficient approach for analysing user stories backlog in order to generate a business process model. A review of literature has been conducted to study contributions in the domain of automatic business process extraction from textual requirements. We found that most of interesting approaches analysing user stories use natural language processing techniques for software projects requirements understanding and none of them target business process modeling automation. The Originality of our contribution is the proposition of a model driven based parsing of user stories backlog and transformations to generate a process model. This work thus contributes with a novel agile iterative methodology augmenting business process design phase with automation assistant transforming user stories textual requirements into a business process model. © 2020 ACM.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096411195&doi=10.1145%2f3419604.3419793&partnerID=40&md5=9c2213523602ada2a3463369b32c3d10
DOI10.1145/3419604.3419793
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