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» Monitoring Software Requirements Using Instrumented Code
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TSE
2008
129views more  TSE 2008»
14 years 9 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
AMOST
2007
ACM
15 years 1 months ago
Achieving both model and code coverage with automated gray-box testing
We have devised a novel technique to automatically generate test cases for a software system, combining black-box model-based testing with white-box parameterized unit testing. Th...
Nicolas Kicillof, Wolfgang Grieskamp, Nikolai Till...
POPL
2011
ACM
14 years 22 days ago
Precise reasoning for programs using containers
Containers are general-purpose data structures that provide functionality for inserting, reading, removing, and iterating over elements. Since many applications written in modern ...
Isil Dillig, Thomas Dillig, Alex Aiken
ACSAC
2010
IEEE
14 years 8 months ago
Comprehensive shellcode detection using runtime heuristics
A promising method for the detection of previously unknown code injection attacks is the identification of the shellcode that is part of the attack vector using payload execution....
Michalis Polychronakis, Kostas G. Anagnostakis, Ev...
ASPLOS
2009
ACM
15 years 10 months ago
RapidMRC: approximating L2 miss rate curves on commodity systems for online optimizations
Miss rate curves (MRCs) are useful in a number of contexts. In our research, online L2 cache MRCs enable us to dynamically identify optimal cache sizes when cache-partitioning a s...
David K. Tam, Reza Azimi, Livio Soares, Michael St...