Survey on Software Defect Prediction

PhD Qualifying Examination


Title: "Survey on Software Defect Prediction"

by

Mr. Jaechang NAM


Abstract:

Software defect prediction is one of the most active research areas in 
software engineering. Defect prediction results provide the list of 
defect-prone source code artifacts so that quality assurance teams can 
effectively allocate limited resources for validating software products by 
putting more effort on the defect-prone source code. As the size of 
software projects becomes larger, defect prediction techniques will play 
an important role to support developers as well as to speed up time to 
market with more reliable software products.

In this survey, we first introduce the common defect prediction process 
used in the literature and how to evaluate defect prediction performance. 
Second, we compare different defect prediction techniques such as metrics, 
models, and algorithms. Third, we discuss various approaches for 
cross-project defect prediction that is an actively studied topic in 
recent years. We then discuss applications on defect prediction and other 
emerging topics. Finally, based on this survey, we identify challenging 
issues for the next step of the software defect prediction.


Date:			Thursday, 3 July 2014

Time:                  	3:00pm - 5:00pm

Venue:                  Room 3501
                         Lifts 25/26

Committee Members:	Dr. Sunghun Kim (Supervisor)
  			Prof. James Kwok (Chairperson)
  			Prof. Shing-Chi Cheung
  			Dr. Charles Zhang


**** ALL are Welcome ****