POPL '12 Proceedings of the 39th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
What to do when things go wrong: recovery in complex (computer) systems
Proceedings of the 11th annual international conference on Aspect-oriented Software Development Companion
Computing repair trees for resolving inconsistencies in design models
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
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Developers have used data structure repair over the last few decades as an effective means to recover on-the-fly from errors in program state. Traditional repair techniques were based on dedicated repair routines, whereas more recent techniques have used invariants that describe desired structural properties as the basis for repair. All repair techniques are designed with one primary goal: run-time error recovery. However, the actions that any such technique performs to repair an erroneous program state are meant to produce the effect of the actions of a (hypothetical) correct program. The key insight in this paper is that repair actions on the program state can guide debugging of code (when the erroneous program execution is due to a fault in the program and not an external event).This paper presents an approach that abstracts concrete repair actions that a routine performs to repair an erroneous state into a sequence of program statements that perform the same actions using variables visible in the scope of the faulty code. Thus, appending the generated statements to the original code is akin to performing the repair from within the program. Our implementation uses the Juzi data structure repair tool as an enabling technology. Experimental results using a library data structure as well as two applications demonstrate the effectiveness of our approach in enabling repair of faulty code.