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pro vyhledávání: '"Kim, Dong Jae"'
Large Language Models (LLMs) have become a focal point of research across various domains, including software engineering, where their capabilities are increasingly leveraged. Recent studies have explored the integration of LLMs into software develop
Externí odkaz:
http://arxiv.org/abs/2410.08499
Locating and fixing software faults is a time-consuming and resource-intensive task in software development. Traditional fault localization methods, such as Spectrum-Based Fault Localization (SBFL), rely on statistical analysis of test coverage data
Externí odkaz:
http://arxiv.org/abs/2409.13642
Log parsing is a critical step that transforms unstructured log data into structured formats, facilitating subsequent log-based analysis. Traditional syntax-based log parsers are efficient and effective, but they often experience decreased accuracy w
Externí odkaz:
http://arxiv.org/abs/2408.01585
Configuration settings are essential for tailoring software behavior to meet specific performance requirements. However, incorrect configurations are widespread, and identifying those that impact system performance is challenging due to the vast numb
Externí odkaz:
http://arxiv.org/abs/2406.12806
Logs are important in modern software development with runtime information. Log parsing is the first step in many log-based analyses, that involve extracting structured information from unstructured log data. Traditional log parsers face challenges i
Externí odkaz:
http://arxiv.org/abs/2404.18001
Automatic software fault localization plays an important role in software quality assurance by pinpointing faulty locations for easier debugging. Coverage-based fault localization, a widely used technique, employs statistics on coverage spectra to ra
Externí odkaz:
http://arxiv.org/abs/2404.04496
Software process models are essential to facilitate collaboration and communication among software teams to solve complex development tasks. Inspired by these software engineering practices, we present FlowGen - a code generation framework that emula
Externí odkaz:
http://arxiv.org/abs/2403.15852
Autor:
Ahn, Jae-Hun, Park, Yae-Lyeon, Song, A-Young, Kim, Wan-Gyu, Je, Chang-Yun, Jung, Do-Hyeon, Kim, Yeong-Jun, Oh, Jisu, Cho, Jeong-Yong, Kim, Dong-Jae, Park, Jong-Hwan
Publikováno v:
In Journal of Ethnopharmacology 25 March 2021 268
Akademický článek
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Publikováno v:
Organization Science, 1998 Jul 01. 9(4), 489-505.
Externí odkaz:
https://www.jstor.org/stable/2640275