Reversible object-oriented interpreters
European conference on object-oriented programming on ECOOP '87
IGOR: a system for program debugging via reversible execution
PADD '88 Proceedings of the 1988 ACM SIGPLAN and SIGOPS workshop on Parallel and distributed debugging
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Proceedings of the sixth international symposium on Automated analysis-driven debugging
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IBM Systems Journal
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ECOOP '08 Proceedings of the 22nd European conference on Object-Oriented Programming
Change-Enabled Software Systems
Software-Intensive Systems and New Computing Paradigms
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Executing code in the past: efficient in-memory object graph versioning
Proceedings of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications
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DLS '09 Proceedings of the 5th symposium on Dynamic languages
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Proceedings of the 1st workshop on Comprehension of complex systems
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Proceedings of the 26th annual ACM symposium on User interface software and technology
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ACM Transactions on Computing Education (TOCE)
Distributed debugging for mobile networks
Journal of Systems and Software
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Omniscient debuggers make it possible to navigate backwards in time within a program execution trace, drastically improving the task of debugging complex applications. Still, they are mostly ignored in practice due to the challenges raised by the potentially huge size of the execution traces. This paper shows that omniscient debugging can be realistically realized through the use of different techniques addressing efficiency, scalability and usability. We present TOD, a portable Trace-Oriented Debugger for Java, which combines an efficient instrumentation for event generation, a specialized distributed database for scalable storage and efficient querying, support for partial traces in order to reduce the trace volume to relevant events, and innovative interface components for interactive trace navigation and analysis in the development environment. Provided a reasonable infrastructure, the performance of TOD allows a responsive debugging experience in the face of large programs.