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POWER: Program Option-Aware Fuzzer for High Bug Detection Ability

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dc.contributor.authorLee, Ahcheong-
dc.contributor.authorAriq, Irfan-
dc.contributor.authorKim, Yunho-
dc.contributor.authorKim, Moonzoo-
dc.date.accessioned2024-12-20T07:47:22Z-
dc.date.available2024-12-20T07:47:22Z-
dc.date.issued2022-04-
dc.identifier.issn2159-4848-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/203601-
dc.description.abstractMost programs with command-line interface (CLI) have dozens of command-line options (e.g.,-l,-F,-R for ls) to alternate the operation of the programs. Thus, depending on the option configurations (i.e., a list of options like-l-F and-F-R) applied during fuzzing, the test coverage and crash detection results can vary significantly. In this paper, we propose a novel fuzzing technique POWER that detects more crashes than the cutting-edge fuzzers by actively constructing and carefully selecting various program option configurations. The salient idea of POWER is to enforce diverse executions of a target program by selecting a set of the option configurations each of which is far 'different/distant' from the others in the set. Another core idea of POWER is to apply different fuzzing strategies to different input domains (i.e., option configurations and input files) to increase testing effectiveness within limited time budget. The experiment results on the 30 real-world programs show that POWER detects significantly more crash bugs than the state-of-the-art fuzzing techniques.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titlePOWER: Program Option-Aware Fuzzer for High Bug Detection Ability-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICST53961.2022.00032-
dc.identifier.scopusid2-s2.0-85133305202-
dc.identifier.wosid000850246600020-
dc.identifier.bibliographicCitationProceedings - 2022 IEEE 15th International Conference on Software Testing, Verification and Validation, ICST 2022, pp 220 - 231-
dc.citation.titleProceedings - 2022 IEEE 15th International Conference on Software Testing, Verification and Validation, ICST 2022-
dc.citation.startPage220-
dc.citation.endPage231-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordPlusCrashworthiness-
dc.subject.keywordPlusProgram debugging-
dc.subject.keywordPlusSoftware testing-
dc.subject.keywordPlusBudget control-
dc.subject.keywordPlusAutomated test generations-
dc.subject.keywordPlusBug detection-
dc.subject.keywordPlusCommand line-
dc.subject.keywordPlusCrash bug detection-
dc.subject.keywordPlusDetection ability-
dc.subject.keywordPlusDynamic function relevance-
dc.subject.keywordPlusDynamic functions-
dc.subject.keywordPlusDynamics analysis-
dc.subject.keywordPlusFuzzing-
dc.subject.keywordPlusProgram option configuration-
dc.subject.keywordAuthorAutomated test generation-
dc.subject.keywordAuthorcrash bug detection-
dc.subject.keywordAuthordynamic analysis-
dc.subject.keywordAuthordynamic function relevance-
dc.subject.keywordAuthorfuzzing-
dc.subject.keywordAuthorprogram option configurations-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9787839/-
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