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Influence-based provenance for dataflow applications with taint propagation.

, , and . SoCC, page 372-386. ACM, (2020)

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A Classification Based Framework to Predict Viral Threads., , , , , , , and . PACIS, page 134. (2015)PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems., , , and . SoCC, page 465-476. ACM, (2019)OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications., and . SoCC, page 359-372. ACM, (2021)Efficient Fuzz Testing for Apache Spark Using Framework Abstraction., , , , and . ICSE (Companion Volume), page 61-64. IEEE, (2021)BigFuzz: Efficient Fuzz Testing for Data Analytics Using Framework Abstraction., , , , and . ASE, page 722-733. IEEE, (2020)BigTest: a symbolic execution based systematic test generation tool for Apache spark., , and . ICSE (Companion Volume), page 61-64. ACM, (2020)Interactive Debugging for Big Data Analytics., , , , , , and . HotCloud, USENIX Association, (2016)FedDebug: Systematic Debugging for Federated Learning Applications., , and . ICSE, page 512-523. IEEE, (2023)TrackerSift: untangling mixed tracking and functional web resources., , , , and . Internet Measurement Conference, page 569-576. ACM, (2021)ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning., , and . CoRR, (2023)