CPE Master of Science Thesis Defense by Ebenezer Yawlui
When: Monday,
August 14, 2023
4:00 PM
-
6:00 PM
Where: > See description for location
Cost: Free
Description: Topic: OPTIMAL RELEASE POLICY FOR COVARIATE SOFTWARE RELIABILITY MODELS
Location: Lester Cory Conference Room (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/99858499891
Meeting ID: 998 5849 9891
Passcode: 857304
Abstract:
The optimal time to release a software is a common problem of broad concern to software engineers, where the goal is to minimize cost by balancing the cost of fixing defects before or after release as well as the cost of testing. However, the vast majority of these models are based on defect discovery models that are a function of time and can therefore only provide guidance on the amount of additional effort required. To overcome this limitation, this thesis presents a software optimal release model based on cost criteria, incorporating the covariate software defect detection model based on the Discrete Cox Proportional Hazards Model. The proposed model provides more detailed guidance recommending the amount of each distinct test activity performed to discover defects.
Advisor(s): Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Liudong Xing, Professor & Graduate Program Director, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Gokhan Kul, Assistant Professor, Department of Computer & Information Science, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Lance Fiondella via email at lfiondella@umassd.edu
Location: Lester Cory Conference Room (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/99858499891
Meeting ID: 998 5849 9891
Passcode: 857304
Abstract:
The optimal time to release a software is a common problem of broad concern to software engineers, where the goal is to minimize cost by balancing the cost of fixing defects before or after release as well as the cost of testing. However, the vast majority of these models are based on defect discovery models that are a function of time and can therefore only provide guidance on the amount of additional effort required. To overcome this limitation, this thesis presents a software optimal release model based on cost criteria, incorporating the covariate software defect detection model based on the Discrete Cox Proportional Hazards Model. The proposed model provides more detailed guidance recommending the amount of each distinct test activity performed to discover defects.
Advisor(s): Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Liudong Xing, Professor & Graduate Program Director, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Gokhan Kul, Assistant Professor, Department of Computer & Information Science, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Lance Fiondella via email at lfiondella@umassd.edu
Contact: > See Description for contact information
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering