Jonathan I. Maletic, Ph.D
--- Explore, Analyze, & Manipulate Source Code
Research interests &
Software Development Laboratory <SDML>
Teaching and course related materials
Current position, brief vita,
and full vita (pdf)
Photos from conference travel.
News and activities:
- Traveling to Klagenfurt, Austria, Feb. 21-24, to present two papers at SANER'17.
- Program co-Chair for the IEEE 24th International Conference on Program Comprehension (ICPC'16), May 14-16, Austin Texas.
- Traveled to Austin TX in mid May 2016 for ICPC'16 and ICSE'16.
Presented paper and gave tool demo at ICSE.
- Program Committee member of
- Gave srcML tutorial at Shonan Japan March 9th, 2016 and at MUD'15 in Bremen Germany on Sept. 28th 2015.
- Recieved the Most Influential Paper Award at WCRE/CSMR 2014,
the European Conference on Software Maintenance (CSMR'14)
and the International Working Conference on Reverse Engineering (WCRE'14) in Antwerp, Belgium, Feb. 3-6
for the 2004 WCRE paper entitled "An Information Retrieval Approach to Concept Location in Source Code"
by Andrian Marcus, Andrey Sergeyev, Vaclav Rajlich, and Jonathan I. Maletic.
This well cited paper (more than 280 citations on Google scholar) is the first work to apply IR techiques (i.e., LSI) to the problem of concept location.
See introduction by PC Chairs and MIP talk by Marcus.
- Recieved the Most Influential Paper Award at ICPC 2013 in San Francisco, California, May 20-21
for the 2003 paper entitled "An XML-Based Lightweight C++ Fact Extractor"
by Michael L. Collard, Huzefa Kagdi, and Jonathan I. Maletic.
This well cited paper is one of the first to outline srcML and how it can be used to support static analysis of source code.
See introduction by PC Chairs and MIP talk by Maletic and Collard.
- Awarded a $800K grant, July 1 2013, from the National Science Foundation (NSF) with
Dr. Michael Collard at the University of Akron (~$600K KSU, ~$200K UA).
The CISE CRI award is entitled
Enhancing the srcML Infrastructure: A Mixed-Language Exploration, Analysis, and Manipulation Framework to Support Software Evolution
This work involves the development of parsing technology and software analysis tools for use by both the research community and industry practitioners.
See the project website, srcML.org, for more information.
- Awarded a five year $600K grant from the National Science Foundation (NSF) S-STEM program, starting August 2012, for
undergraduate scholarships to increase participation in the sciences.
Published By: J. Maletic
Last update: Wed Jan 4 16:56:39 2017 EST