Seminars at the Faculty of Informatics

On Incomplete Bug Fixes in Eclipse and Programmers' Intuition on These

The Faculty of Informatics is pleased to announce a seminar given by Yossi Gil

DATE: Tuesday, October 2nd, 2012
PLACE: USI Università della Svizzera italiana, room SI-008, Informatics building (Via G. Buffi 13)
TIME: 15.30

Recent studies indicate that  multiple patches to software are found in a hefty portion of resolved bugs. It is also known that bugs that require multiple patches take longer to resolve, that their severity tends to be higher than the average and that they induce programmers to engage more in bug discussions.
This work is concerned with the ability of programmers to predict a bug will be of this sort, and in particular  that it may require future patches and greater refixing effort at the time the bug is fixed at the first time.
A mathematical model is developed for  a retrospective analysis of bugs maintenance history. In this model we compute the impact of an array of bug properties  on the likelihood that a specific bug is chosen, among all open bugs, to receive its first fix. The studies we conduct on a sizable portion of the history of the Eclipse code base   indicate that programmers tend to attend first to bugs which are easier  to fix. The results further suggest that some of the criteria that  programmers apply (probably unknowingly) to determine whether  a bug is easy to fix, is the number of future patches it would require, and the amount of work involved in these patches. This is despite the fact that this information is not supposed to be available to the programmers at the time the first fix is made.
It is anticipated that the method of analysis introduced in this work  would have other applications in software engineering, but also  outside of computer science.

Joseph (Yossi) Gil is the head of the software and the systems laboratory at the department of computer science at the Technion---Israel institute of Technology. His research interests shifted over the years from theoretical computer science to programming languages.

HOST: Prof. Matthias Hauswirth