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Lineage-driven Fault Injection

Summary: Lineage-driven fault injection reasons backward from correct results to reveal failures that could alter outcomes. MOLLY uses lineage with SAT reasoning to quickly expose fault-tolerance bugs or certify configs as bug-free, reducing runs by orders of magnitude. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4993
Venue
SIGMOD
Year
2015
Pagerank
6.1681803e-05
Overall Rank
5,574 | 61.76%
DOI
10.1145/2723372.2723711

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{alvaro_sigmod15,
        title = {{Lineage-driven Fault Injection}},
        author = {Alvaro, Peter and Rosen, Joshua and Hellerstein, Joseph M.},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723711},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723711},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,617 Titian: Data Provenance Support in Spark 2016 VLDB 0.00010209397
8,171 Fixed It For You: Protocol Repair Using Lineage Graphs 2019 CIDR 5.4740088e-05
8,185 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4707797e-05
9,045 Causality-Guided Adaptive Interventional Debugging 2020 SIGMOD 5.3252192e-05
10,701 Unified Lineage System: Tracking Data Provenance at Scale 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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