Architectural-Level Risk Analysis Using UML
Document Type
Article
Publication Date
10-1-2003
Abstract
Risk assessment is an essential part in managing software development. Performing risk assessment during the early development phases enhances resource allocation decisions. In order to improve the software development process and the quality of software products, we need to be able to build risk analysis models based on data that can be collected early in the development process. These models will help Identify the high-risk components and connectors of the product architecture, so that remedial actions may be taken in order to control and optimize the development process and Improve the quality of the product, In this paper, we present a risk assessment methodology which can be used In the early phases of the software life cycle. We use the Unified Modeling Language (UML) and commercial modeling environment Rational Rose Real Time (RoseRT) to obtain UML model statistics. First, for each component and connector in software architecture, a dynamic heuristic risk factor is obtained and severity is assessed based on hazard analysis. Then, a Markov model Is constructed to obtain scenarios risk factors. The risk factors of use cases and the overall system risk factor are estimated using the scenarios risk factors. Within our methodology, we also identify critical components and connectors that would require careful analysis, design, implementation, and more testing effort. The risk assessment methodology is applied on a pacemaker case study.
Identifier
0242411475 (Scopus)
Publication Title
IEEE Transactions on Software Engineering
External Full Text Location
https://doi.org/10.1109/TSE.2003.1237174
ISSN
00985589
First Page
946
Last Page
959
Issue
10
Volume
29
Grant
CCR-0082574
Fund Ref
National Aeronautics and Space Administration
Recommended Citation
Goseva-Popstojanova, Katerina; Hassan, Ahmed; Guedem, Ajith; Abdelmoez, Walid; Nassar, Diaa Eldin M.; Ammar, Hany; and Mili, Ali, "Architectural-Level Risk Analysis Using UML" (2003). Faculty Publications. 13974.
https://digitalcommons.njit.edu/fac_pubs/13974
