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RESEARCH COMPONENT OF PHD QUALIFIER EXAM BY: Vidhyashree Nagaraju

When: Wednesday, May 4, 2016
12:30 PM - 2:30 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: TOPIC: CHANGE-POINT DETECTION AND PARAMETER ESTIMATION FOR NON-HOMOGENEOUS POISSON PROCESS SOFTWARE RELIABILITY GROWTH MODELS

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Most software reliability growth models (SRGM) characterize the software process as a function of testing time. However, during the software testing process, the failure data is affected by various other factors such as testing strategy and environment, integration testing, and resource allocation. This will affect the failure data with noticeable changes indicating the impact of such factors at various stages of testing, which are known as change-points. Several researchers have proposed non-homogeneous Poisson process (NHPP) SRGM with one or more change-points. One limitation of previous research is that they only consider homogeneous combinations of the failure distribution before and after change-points. However, in real data sets this often not the case. Another shortcoming is that there is no systematic method to select a model or combination of models when one or more change-points may be present.

This project developed heterogeneous single change-point models and algorithms to maximize the likelihood of these models. Heterogeneous models are compared with existing homogeneous models. The expectation conditional maximization (ECM) algorithm identifies the maximum likelihood estimates (MLEs) of the model parameters. An information theoretic model selection strategy is proposed.
Experimental results suggest that heterogeneous change-point models better characterize some failure data sets.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Lance Fiondella
Committee Members: Dr. Liudong Xing and Dr. Honggang Wang, Department of Electrical & Computer Engineering

*For further information, please contact Dr. Lance Fiondella at 508.999.8596, or via email at lfiondella@umassd.edu or hwang1@umassd.edu
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering