Pavel Senin successfully defends Ph.D. proposal: "Software Trajectory Analysis: An empirically based method for automated software process discovery"

Pavel Senin successfully defended his Ph.D. proposal entitled "Software Trajectory Analysis: An empirically based method for automated software process discovery".  

Abstract: In this research, I will apply knowledge discovery and data mining techniques to the domain of software engineering in order to evaluate their ability to automatically notice interesting recurrent patterns of behavior. While I am not proposing to be able to infer a complete and correct software process model, my system will provide its users with a formal description of recurrent behaviors in their software development. The proposed contributions of my research will include:  (1) the implementation of a system aiding in discovery of novel software process knowledge through the analysis of fine-grained software process and product data; (2) experimental evaluation of the system, which will provide insight into its strengths and weaknesses; and (3) the possible discovery of useful new software process patterns.

The proposal is available here:

http://csdl.ics.hawaii.edu/techreports/09-09/09-09.pdf

Congratulations, Pavel, and good luck with this research!