Title :
BAM: A Requirements Validation and Verification Framework for Business Process Models
Author :
Feja, Sven ; Witt, Sören ; Speck, Andreas
Author_Institution :
Bus. Inf. Technol., Christian-Albrechts-Univ. of Kiel, Kiel, Germany
Abstract :
Requirements Engineering is an important part of software development processes. Business process models are widely used for the specification of software. Hence, the quality of the software depends on the quality of the process models. Validation of these semi-formal models against informal requirements has to be done manually. In contrast, formal requirements can be used for automatic validation and verification of process models. However, there is a gap between textual formal specification languages and graphical process models. In this contribution we present the Business Application Modeler (BAM). This is a modeling and Validation and Verification (V&V) tool, that reduces this gap by integrating formal, graphical and reusable requirement specifications into the modeling workflow. Furthermore, BAM provides the definition of customizable views on the models (MultiView), that reduce modeling complexity and allow the assignment of responsibilities. We further show how BAM integrates into a common requirements engineering process.
Keywords :
business data processing; formal specification; program verification; software quality; BAM; business application modeler; business process model; graphical process model; requirements engineering; requirements validation; software development process; software quality; textual formal specification language; validation tool; verification framework; verification tool; Adaptation models; Biological system modeling; Business; Complexity theory; Concrete; Programming; Software; Business Application Modeler; Business Process Modeling; Graphical Validation Rules; Model Checking; Requirements Engineering; Validation; Verification;
Conference_Titel :
Quality Software (QSIC), 2011 11th International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4577-0754-4
Electronic_ISBN :
1550-6002
DOI :
10.1109/QSIC.2011.33