{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:07:04Z","timestamp":1770466024921,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["2106420,1764077,1956322,1460325,2106383,2106404"],"award-info":[{"award-number":["2106420,1764077,1956322,1460325,2106383,2106404"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004358","name":"Samsung","doi-asserted-by":"publisher","award":[""],"award-info":[{"award-number":[""]}],"id":[{"id":"10.13039\/100004358","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"DOI":"10.1145\/3611643.3616298","type":"proceedings-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T23:14:38Z","timestamp":1701386078000},"page":"1050-1061","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5707-4487","authenticated-orcid":false,"given":"Ahmad","family":"Humayun","sequence":"first","affiliation":[{"name":"Virginia Tech, Blacksburg, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3802-1512","authenticated-orcid":false,"given":"Miryung","family":"Kim","sequence":"additional","affiliation":[{"name":"University of California at Los Angeles, Los Angeles, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8007-8662","authenticated-orcid":false,"given":"Muhammad Ali","family":"Gulzar","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2021. American Fuzzy Lop. https:\/\/lcamtuf.coredump.cx\/afl\/ Accessed: 2021-12-14"},{"key":"e_1_3_2_2_2_1","unstructured":"2022. Apache Hadoop. https:\/\/hadoop.apache.org\/ Accessed: 2021-12-14"},{"key":"e_1_3_2_2_3_1","unstructured":"2022. Apache Spark. https:\/\/spark.apache.org\/ Accessed: 2021-12-14"},{"key":"e_1_3_2_2_4_1","unstructured":"Accessed: 2022-09-01. Big Data Benchmark. https:\/\/amplab.cs.berkeley.edu\/benchmark\/"},{"key":"e_1_3_2_2_5_1","unstructured":"Accessed: 2022-09-01. TPC-DS Version 2 and Version 3. https:\/\/www.tpc.org\/tpcds\/default5.asp"},{"key":"e_1_3_2_2_6_1","unstructured":"Accessed: 2023-01-10. Demonstration Database. https:\/\/postgrespro.com\/community\/demodb."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICST.2012.182"},{"key":"e_1_3_2_2_8_1","unstructured":"Alexander Boyce and Mathieu Leger. Accessed: 2023-01-10. Stateful Streaming with Apache Spark: How to Update Decision Logic at Runtime. https:\/\/www.databricks.com\/session_eu20\/stateful-streaming-with-apache-spark-how-to-update-decision-logic-at-runtime"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2785841"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367549"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2325"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994530"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/spe.602"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.15"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1631272.1631379"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2025113.2025179"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2009.5070546"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3131624"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338953"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","unstructured":"Ahmad Humayun Miryung Kim and Muhammad Ali Gulzar. 2023. DepFuzz Tool for \"Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics\". https:\/\/doi.org\/10.1145\/3580412 10.1145\/3580412","DOI":"10.1145\/3580412"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.118"},{"key":"e_1_3_2_2_22_1","volume-title":"In Proc. Conference on Innovative Data Systems Research (CIDR).","author":"Ikeda Robert","year":"2011","unstructured":"Robert Ikeda, Hyunjung Park, and Jennifer Widom. 2011. Provenance for generalized map and reduce workflows. In In Proc. Conference on Innovative Data Systems Research (CIDR)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2013.6544882"},{"key":"e_1_3_2_2_24_1","unstructured":"Code Intelligence. 2022. Jazzer. https:\/\/github.com\/CodeIntelligenceTesting\/jazzer"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-017-0474-5"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2610384.2628053"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1986.1676696"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238176"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2013.6693083"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2970276.2970325"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3106295"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833594"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2009.13"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523619"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)TE.1943-5436.0000126"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1108\/17410380910984221"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559873"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2593882.2593885"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1297846.1297902"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3293882.3330576"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00056"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07785-7_7"},{"key":"e_1_3_2_2_43_1","unstructured":"Roch Grzegorz Slowikowski Roland Tritsch Sam and Chris Kipp. 2022. scoverage. https:\/\/github.com\/scoverage. Accessed: 2022-01-10"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3236084"},{"key":"e_1_3_2_2_45_1","unstructured":"Kostya Serebryany. Accessed: 2023-01-29. LibFuzzer \u2013 a library for coverage-guided Fuzz Testing.. https:\/\/llvm.org\/docs\/LibFuzzer.html"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP40000.2020.00022"},{"key":"e_1_3_2_2_47_1","first-page":"1","article-title":"Driller: Augmenting fuzzing through selective symbolic execution","volume":"16","author":"Stephens Nick","year":"2016","unstructured":"Nick Stephens, John Grosen, Christopher Salls, Andrew Dutcher, Ruoyu Wang, Jacopo Corbetta, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna. 2016. Driller: Augmenting fuzzing through selective symbolic execution.. In NDSS. 16, 1\u201316.","journal-title":"NDSS."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3419111.3421292"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2010.37"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359649"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468532"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3324884.3416641"}],"event":{"name":"ESEC\/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","location":"San Francisco CA USA","acronym":"ESEC\/FSE '23","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3611643.3616298","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3611643.3616298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:04Z","timestamp":1750178164000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3611643.3616298"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"references-count":52,"alternative-id":["10.1145\/3611643.3616298","10.1145\/3611643"],"URL":"https:\/\/doi.org\/10.1145\/3611643.3616298","relation":{},"subject":[],"published":{"date-parts":[[2023,11,30]]},"assertion":[{"value":"2023-11-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}