Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8414
Title: Business process model driven approach for automatic use case model generation
Authors: Turkman, Salam 
Taweel, Adel 
Keywords: Requirement engineering;Project management;Use case model;Management information systems;Decision support systems;Business - Data processing - Management
Issue Date: 2020
Publisher: Lecture Notes in Business Information Processing
Abstract: Requirement elicitation is an essential step for establishing software requirements. They define the outcomes upon which software functionality is produced. However, several studies have shown majority of errors found in software functionality are directly linked to requirement elicitation. To address, this paper proposes a structured approach to derive system requirements automatically using business process models. It employs a systematic mechanism to improve business process models and transformation method to generate requirement models. It employs 26 defined heuristics rules that maps and controls transformation. The proposed approach is evaluated using seven case studies. Results show the viability to generate software requirements from business process models, and the automatic generation of rich UML-based use case diagram. The proposed approach achieves more precise and valid requirement specifications and was able to generate additional valid use case model features compared to other competing approaches.
URI: http://hdl.handle.net/20.500.11889/8414
DOI: 10.1007/978-3-030-52306-0_8
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
Business process model driven approach for automatic use case model generation.pdf1.28 MBAdobe PDFView/Open
Show full item record

Page view(s)

13
checked on Jun 18, 2024

Download(s)

4
checked on Jun 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.