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pro vyhledávání: '"Pan, Minxue"'
Decompilation, the process of converting machine-level code into readable source code, plays a critical role in reverse engineering. Given that the main purpose of decompilation is to facilitate code comprehension in scenarios where the source code i
Externí odkaz:
http://arxiv.org/abs/2409.20343
Most existing code Large Language Model (LLM) benchmarks, e.g., EvalPlus, focus on the code generation tasks. Namely, they contain a natural language description of a problem and ask the LLM to write code to solve the problem. We argue that they do n
Externí odkaz:
http://arxiv.org/abs/2407.14118
Microservice architecture refers to the use of numerous small-scale and independently deployed services, instead of encapsulating all functions into one monolith. It has been a challenge in software engineering to decompose a monolithic system into s
Externí odkaz:
http://arxiv.org/abs/2105.07157
Akademický článek
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Autor:
Zhu, Yuxiang, Pan, Minxue
Background: During software maintenance and development, the comprehension of program code is key to success. High-quality comments can help us better understand programs, but they're often missing or outmoded in today's programs. Automatic code summ
Externí odkaz:
http://arxiv.org/abs/1909.04352
More and more users and developers are using Issue Tracking Systems (ITSs) to report issues, including bugs, feature requests, enhancement suggestions, etc. Different information, however, is gathered from users when issues are reported on different
Externí odkaz:
http://arxiv.org/abs/1909.00934
Fault localization is a crucial step of automated program repair, because accurately identifying program locations that are most closely implicated with a fault greatly affects the effectiveness of the patching process. An ideal fault localization te
Externí odkaz:
http://arxiv.org/abs/1906.01778
Publikováno v:
In Information and Software Technology July 2023 159
We propose a universal image reconstruction method to represent detailed images purely from binary sparse edge and flat color domain. Inspired by the procedures of painting, our framework, based on generative adversarial network, consists of three ph
Externí odkaz:
http://arxiv.org/abs/1903.10146
Akademický článek
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