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:
- Program co-Chair for the IEEE 24th International Conference on Program Comprehension (ICPC'16), May 14-16, Austin Texas.
- Giving srcML tutorial at MUD'15 in Bremen Germany on Sept. 28th.
- Traveling to Bremen Germany the last week of September to present papers at ICSME'15 and MUD'15.
- Technical Briefing on srcML at ICSE'15 in Florence Italy on Tuesday May 19.
- Doctoral student, Saleh Alnaeli, successfully defended his dissertation in April, 2015.
- Program Committee member of
- 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.
- Awarded a three year $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.
- 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 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: Tue Aug 25 17:04:09 2015 EST