This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
ÐExplicitly stated program invariants can help programmers by identifying program properties that must be preserved when modifying code. In practice, however, these invariants are...
Michael D. Ernst, Jake Cockrell, William G. Griswo...
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Verification of object-oriented programs relies on object invariants which express consistency criteria of objects. The semantics of object invariants is subtle, mainly because of...
Sophia Drossopoulou, Adrian Francalanza, Peter M&u...
This paper describes a language and framework that allow coordinated transformations driven by invariants to be specified declaratively, as invariant rules, and applied automatic...
Yanhong A. Liu, Michael Gorbovitski, Scott D. Stol...