Goal-Directed Reasoning for Specification-Based Data Structure Repair
IEEE Transactions on Software Engineering
Starc: static analysis for efficient repair of complex data
Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications
Assertion-based repair of complex data structures
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Dynamic symbolic data structure repair
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
DSDSR: a tool that uses dynamic symbolic execution for data structure repair
Proceedings of the Eighth International Workshop on Dynamic Analysis
Contract-based data structure repair using alloy
ECOOP'10 Proceedings of the 24th European conference on Object-oriented programming
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Software errors, hardware faults, and user errors can cause data structures in running applications to become damaged so that they violate key consistency properties. As a result of this violation, the application may produce unacceptable results or even crash. This dissertation presents a new data structure repair system that accepts a specification of key data structure consistency constraints; then generates repair algorithms that dynamically detect and repair violations of these constraints, enabling the application to continue to execute productively even in the face of otherwise crippling errors. We have successfully applied our system to five benchmarks: CTAS, an air traffic control tool: Abi Word, an open source word processing application; Freeciv, an online game; a parallel x86 emulator; and a simplified Linux file system. Our experience using our system indicates that the specifications are relatively easy to develop once one understands the data structures. Furthermore, for our set of benchmark applications, our experimental results show that our system can effectively repair inconsistent data structures and enable the application to continue to operate successfully. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)