Industry Panel

The Department of Computer Science invites all Computer Science
Majors to the first event in its new Career Preparation Series. On
Tuesday, February 2, 2010, 3-4:20 p.m. in room 110 Purdy-Kresge
Library, we will hold an industry panel, consisting of
representatives from Ford, Chrysler, Unisys, Thomson Reuters, and
Wayne State, who will talk about dos and don'ts of proper student
technical resume writing. While computer science jobs have been
topping all kinds of best jobs lists over the years, in the highly
competitive job market of today, it is important to understand what
makes a student resume stand out among others. In fact, a resume is a
kind of a personal marketing tool and it is not enough to google
"technical resume" to get a real feel for what would impress a
potential employer in the field of computing. All interested students
need to RSVP to this event by Sunday, Jan. 31, by e-mailing Diane
Grimord.

Students who wish to have their resumes reviewed by the panel need to
understand that the review will be public and that all personal
information has to be removed from a resume before it is submitted by
a student. Students interested in such a review need to send their
resumes by Wednesday, January 27 to Monika Witoslawski.

Hope to see you there!

Link to the event recording.

Sonia's Presentation

Combining Information Retrieval and

Relevance Feedback for Concept Location

Sonia Haiduc

Wayne State University

Tuesday, January 19, 2010

3:00pm Rm. 110 Purdy-Kresge Library

Abstract:

The amount of information a person is presented with every day has come to staggering amounts. Software developers are no exception, as they are faced every day with maintaining and evolving software systems having thousands or millions lines of code. In order to be able to handle such systems, developers need tools to help them locate information fast and accurate. Most such tools depend on the ability of developers to precisely describe the target of their search in the form of queries. This often leads to a paradox: the programmer searches the software because she does not know where a piece of information is located and what form of representation it has in the software; in consequence, she can not accurately describe something she does not know. This talk presents a solution to this paradox, based on combining Information Retrieval and User Relevance Feedback for searching software and illustrates its applications in a series of case studies for locating concepts in source code during bug fixing. It also presents the main challenges of this research and proposes solutions to address them.

Recording Link: http://coursecast02.cs.wayne.edu:8080/ess/echo/presentation/84e6fdc8-79b8-41d4-b65e-a73b504f054f