DocumentCode :
3477075
Title :
Architectural level risk assessment tool based on UML specifications
Author :
Wang, T. ; Hassan, A. ; Guedem, A. ; Abdelmoez, W. ; Goseva-Popstojanova, K. ; Ammar, H.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fYear :
2003
fDate :
3-10 May 2003
Firstpage :
808
Lastpage :
809
Abstract :
Recent evidences indicate that most faults in software systems are found in only a few of a system´s components [1]. The early identification of these components allows an organization to focus on defect detection activities on high risk components, for example by optimally allocating testing resources [2], or redesigning components that are likely to cause field failures. This paper presents a prototype tool called Architecture-level Risk Assessment Tool (ARAT) based on the risk assessment methodology presented in [3]. The ARAT provides risk assessment based on measures obtained from Unified Modeling Language (UML) artifacts [4]. This tool can be used in the design phase of the software development process. It estimates dynamic metrics [5] and automatically analyzes the quality of the architecture to produce architectural-level software risk assessment [3].
Keywords :
risk management; software architecture; software development management; software metrics; software quality; software tools; specification languages; UML specification; architectural level risk assessment tool; component redesign; design phase; detection activity; dynamic metrics; prototype tool; risk component; software development process; software system; system component; testing resource; unified modeling language; Computer architecture; Programming; Prototypes; Resource management; Risk analysis; Risk management; Software prototyping; Software systems; Testing; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2003. Proceedings. 25th International Conference on
ISSN :
0270-5257
Print_ISBN :
0-7695-1877-X
Type :
conf
DOI :
10.1109/ICSE.2003.1201297
Filename :
1201297
Link To Document :
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