@inproceedings{d6c5c2789dbb4531accd2ee94d363dc1,
title = "Wok: Statistical program slicing in production",
abstract = "Dynamic program slicing can significantly reduce the amount of code developers need to inspect by focusing only on program statements relevant to their investigation. However, it is still not ready for production-level use either in terms of runtime or storage efficiency. We propose statistical program slicing, a novel hybrid dynamic-static slicing technique which explores the tradeoffs between runtime overhead, accuracy, and storage costs. Our approach relies on modern hardware support for control-flow tracing and selective heap memory instrumentation distributed across multiple executions combined with static program analysis for data-flow tracking.",
keywords = "Data-Flow Analysis, Hardware Debugging Support, Intel Processor Trace, Program Slicing, Runtime Tracing",
author = "Stoica, {Bogdan Alexandru} and Sahoo, {Swarup K.} and Larus, {James R.} and Adve, {Vikram S.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 41st IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2019 ; Conference date: 25-05-2019 Through 31-05-2019",
year = "2019",
month = may,
doi = "10.1109/ICSE-Companion.2019.00136",
language = "English (US)",
series = "Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion, ICSE-Companion 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "324--325",
booktitle = "Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering",
address = "United States",
}