Semester

Fall

Date of Graduation

2003

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Lane Department of Computer Science and Electrical Engineering

Committee Chair

Hany Ammar.

Abstract

Most faults in software systems are likely to be found in only a few of components [1]. The early identification of these components allows the project management to focus on remedial actions, such as redesigning the critical components that are likely to cause field failures or optimally allocating resources on implementation and testing [2]. This thesis presents a prototype tool called Architecture-level Risk Assessment Tool (ARAT) to demonstrate the process of risk assessment. The final result of this process is to distinguish those potentially high risk components in the software system. ARAT is built on the risk assessment methodology [3]. By manipulating the data acquired from domain expert and measures obtained from Unified Modeling Language (UML) artifacts [4], ARAT can be used in the design phase of the software development process to improve the quality of the software product. A paper which demonstrates this tool is also published [19].

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