[Colloq] NOW: CCIS HIRING TALK - Guowei Yang - Scaling Systematic Checking Using Incremental and Memoization Techniques - 2pm, 366 WVH

[Thomas Wahl]

Please come to hear about recent developments in automated software 
analysis that has made its way into some high-impact tools.

Thomas

===================================================

Scaling Systematic Checking Using Incremental and Memoization Techniques

Guowei Yang

Wednesday, March 27th, 2:00pm 366 WVH
Abstract: As software systems become increasingly complex and 
ubiquitous, the need to develop higher quality software at a lower cost 
becomes more and more urgent. This talk presents a novel methodology for 
more efficient and effective checking of programs using systematic 
techniques. The key insight is that checking a program often requires a 
number of successive applications of the technique on largely similar 
underlying problems, e.g., after bug fixes or feature additions to a 
program, and each subsequent application can leverage the similarities 
in the successive problems for enhanced efficacy. The talk focuses on 
symbolic execution, an increasingly popular technique, which poses key 
technical challenges for scalability. Two novel approaches that embody 
the insight for scaling symbolic execution are presented. They introduce 
an incremental method where edits to a program guide its checking and 
memoization of computations during previous checks reduces the overall 
cost of checking. Experimental results using a suite of programs, 
including some from NASA, show the effectiveness of the method in 
commonly used checking scenarios, such as regression analysis.

Bio: Guowei Yang is completing his Ph.D. in Software Engineering at the 
Department of Electrical and Computer Engineering in the University of 
Texas at Austin. Guowei received a B.E. in Software Engineering from 
Harbin Institute of Technology, an M.E. in Computer Software and Theory 
from Institute of Software Chinese Academy of Sciences, and an M.S. in 
Computer Science from University of Nebraska - Lincoln. His research 
addresses various elements of how to enhance software reliability and 
dependability, including software testing and verification, software 
evolution, symbolic execution, model checking, static and dynamic 
analysis, and lightweight formal methods. His doctoral research focuses 
on developing techniques and tools to enable more efficient and 
effective checking of complex software systems. As an intern researcher, 
Guowei worked at Fujitsu Laboratories of America in Fall 2012, NASA 
Langley Research Center and National Institute of Aerospace in Summer 
2012, and NASA Ames Research Center in Summer 2010. He also participated 
in the Google Summer of Code with the Java PathFinder (JPF) Team in 
Summer 2011.


_______________________________________________
Colloq mailing list
Colloq at lists.ccs.neu.edu
https://lists.ccs.neu.edu/bin/listinfo/colloq