Results 11 to 20 of about 4,221,254 (369)
Estimating Residual Faults from Code Coverage [PDF]
, 2002 Many reliability prediction techniques require an estimate for the number of residual faults. In this paper, a new theory is developed for using test coverage to estimate the number of residual faults. This theory is applied to a specific example with known faults and the results agree well with the theory.
A. Pasquini, M. Lipow, W. Farr
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Planning to Guide LLM for Code Coverage Prediction [PDF]
2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering (Forge) Conference Acronym:Code coverage serves as a crucial metric to assess testing effectiveness, measuring the degree to which a test suite exercises different facets of the code, such as statements, branches, or paths.
Hridya Dhulipala +2 more
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Fine-grained Code Coverage Measurement in Automated Black-box Android Testing [PDF]
ACM Transactions on Software Engineering and Methodology, 2020 Today, there are millions of third-party Android applications. Some of them are buggy or even malicious. To identify such applications, novel frameworks for automated black-box testing and dynamic analysis are being developed by the Android community ...
Aleksandr Pilgun +5 more
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International Conference on INFORMATICS in ECONOMY Proceedings, 2019 Dinu Mihail-Văduva
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Fault Localization with Code Coverage Representation Learning [PDF]
International Conference on Software Engineering, 2021 In this paper, we propose DeepRL4FL, a deep learning fault localization (FL) approach that locates the buggy code at the statement and method levels by treating FL as an image pattern recognition problem.
Yi Li, Shaohua Wang, T. Nguyen
semanticscholar +1 more source
FuzzingDriver: the Missing Dictionary to Increase Code Coverage in Fuzzers [PDF]
IEEE International Conference on Software Analysis, Evolution, and Reengineering, 2022 We propose a tool, called FuzzingDriver, to generate dictionary tokens for coverage-based greybox fuzzers (CGF) from the codebase of any target program. FuzzingDriver does not add any overhead to the fuzzing job as it is run beforehand.
Arash Ale Ebrahim +3 more
semanticscholar +1 more source
Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density
International Conference on Software Testing, Verification and Validation Workshops, 2016 Dávid Tengeri +6 more
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Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph
IEEE Access, 2021 The OS kernel, which has full system privileges, is an attractive attack surface. A kernel fuzzer that targets system calls in fuzzing is a popular tool for discovering kernel bugs that can induce kernel privilege escalation attacks.
Mingi Cho +3 more
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Smart Contract Fuzzing Based on Deep Learning and Information Feedback [PDF]
Jisuanji kexue, 2023 Vulnerabilities of smart contracts caused by insecure programming have been frequently discovered on the mainstream blockchain platform Ethereum.In order to improve the coverage of contracts by fuzzing and detect security vulnerabilities more ...
ZHAO Mingmin, YANG Qiuhui, HONG Mei, CAI Chuang
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