Sep 6, 2023 · We propose DepFuzz to increase the effectiveness and efficiency of fuzz testing dataflow-based big data applications. The key insight behind ...
Nov 30, 2023 · We propose DepFuzz to increase the effectiveness and efficiency of fuzz testing dataflow-based big data applications.
We propose CoFuzz to increase the effectiveness and efficiency of fuzz testing dataflow-based big data applications. The key insight behind CoFuzz is two folds.
This paper introduces the concept of big data and big data technology firstly, and then describes the mature technology of big data analysis: Hadoop and Spark.
This artifact contains the tool, DepFuzz, engineered as part of the paper “Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics”. It is a fuzzer ...
Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics. A Humayun, M Kim, MA Gulzar. Proceedings of the 31st ACM Joint European Software Engineering ...
Co-Dependence Aware Fuzzing for Dataflow-based Big Data Analytics, Ahmad Humayun, Miryung Kim, Muhammad Ali Gulzar, ACM Joint European Software Engineering ...
ABSTRACT An abundance of data in science, engineering, national security, and health care has led to the emerging field of big data analytics.
Co-Dependence Aware Fuzzing for Dataflow-based Big Data Analytics. Ahmad Humayun, Miryung Kim, and Muhammad Ali Gulzar. ACM Joint European Software ...
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Author of Co-Dependence Aware Fuzzing for Dataflow-based Big Data Analytics within the Research Papers-track ... Speaker of Software Engineering for Data ...