Secure and Robust Software Through Testing and Verification

KEC 1007
Tuesday, March 10, 2015 - 10:00am to 11:00am
Speaker Information

Rene Just
Postdoctoral Research Associate
Programming Languages and Software Engineering Group
University of Washington

Abstract:
Hardly any area exists in our everyday life that is not affected by software, 
yet software remains buggy. These software bugs not only affect correctness and 
robustness but also cause severe security vulnerabilities. Software 
verification can provide strong guarantees about important (security) 
properties of a program, but full verification of software correctness is 
prohibitively expensive for most applications. Software testing is the 
predominant approach for assuring software correctness and robustness, but 
software testing is not complete and can only increase confidence. It is 
therefore important to measure the adequacy of testing techniques.

In this talk, I will present some of my work in verification and testing that 
aims to improve software security and robustness. First, I will present a model 
and type system to statically verify the absence of information-flow malware in 
mobile apps. I will also describe techniques I developed to significantly 
reduce the number of false positives and an evaluation on real-world apps. For 
72 apps, totaling 570,000 lines of code, the results show that the model and 
type system are effective and that the developer burden is low. Second, I will 
present my work on improving software testing. In particular, I will focus on 
mutation analysis, which measures the adequacy of testing techniques using 
artificial faults (mutants). I will present an empirical study that involved 
more than 350 real faults and 230,000 mutants, in which I have shown that 
mutants are a valid substitute for real faults, and that mutation analysis is 
significantly more effective than code coverage.

Speaker Bio:
Rene Just is a Postdoctoral Research Associate at the University of Washington, 
where he is a member of the Programming Languages and Software Engineering 
group. He received his PhD in Computer Science from the University of Ulm in 
2013. His research interests are in software engineering and software security, 
in particular static and dynamic program analysis, type systems, mobile 
security, and mining software repositories. His research won two ACM SIGSOFT 
Distinguished Paper Awards (FSE'14 and ISSTA'14).
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