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Sensitivity of Software Reliability to Operational Profile Errors
Point of Contact Katerina Goseva-Popstajanova
Katerina.Goseva@mail.wvu.edu
Dates October 2001 - December 2004
Problem Software reliability models assume that random test selection is guided accordingly to the operational profile. However, building an operational profile is not an easy task, especially for a new product. Therefore, it is of critical importance to study the sensitivity of the software reliability to the errors in the operational profile, particularly when reliability estimates with high accuracy are required.
Objective The objective to this project is to develop an architecture-based methodology for computing the sensitivity of software reliability to the operational profile errors. The methodology will be based on stochastic models such as Markov chains and will address the parameter uncertainty problem. An automated technique to assess the effect of the uncertainty in the parameters on the software reliability will be developed. Its application will be illustrated on the empirical case study.
Results Report Architecture-Based Methodology for Studying Sensitivity of Software Reliability to Operational Profile Errors.doc
Case Studies Report.pdf
FY02 Final Report.pdf
Operational Profile Report May 2003.pdf
SAS Presentation 03.ppt
Report on the comparison of different methods for uncertainty analysis developed in FY02 and FY03.zip
Keywords software reliability, architecture-based, UML, life cycle
Categories Software Reliability
Dynamic Analysis
Traceability Analysis


Curator: Josh Stonestreet
NASA Official: Lisa Montgomery
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