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논문[2]
#2. Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF
2018.10
(DOI) https://doi.org/10.1145/3236024.3236058
#1. REMI: defect prediction for efficient API testing
2015.8
(DOI) https://doi.org/10.1145/2786805.2804429
프로시딩[5]
#5. DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions
2022.07.20
(DOI) https://doi.org/10.1145/3533767.3534220
#4. Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF
2018.11.04:679-690
(DOI) https://doi.org/10.1145/3236024.3236058
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발표[3]
#3. DEVIATE: A Deep Learning Variance Testing Framework
IEEE/ACM International Conference on Automated Software Engineering
2021.11.15 - 2021.11.19
#2. Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations
Empirical Methods in Natural Language Processing
2021.11.07 - 2021.11.09
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특허[2]
#2. Testing Framework for Policy-based Workflows
[등록] 20150095895
미국
#1. Testing Framework for Policy-based Workflows
[등록] 14187280.4-1951
유럽특허청
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Hyeontak Ryu
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SHEONG-CHEOL HONG
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suk ki kim
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Bobae Kim
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