Results 221 to 230 of about 18,096 (259)

Adapting to technological change: An investigation of translator training and the translation market in the Arab world. [PDF]

Heliyon
Al-Batineh M, Al Tenaijy M.
europepmc   +1 more source

Sex-Specific Thermal Adaptation in <i>Riptortus pedestris</i>: Integrating Logistic Thresholds and Transcriptomic Responses. [PDF]

Biology (Basel)
Zhang L, Zhou Y, Zhou X, Li X, Niu Y, Du Z, Zhang W, Gao Y.   +7 more
europepmc   +1 more source

β-ATPase of the Insect Panstrongylus megistus: Cloning, Bioinformatics Analysis, and Study of Its Interaction With Lipophorin. [PDF]

Proteins
Fruttero LL, Leyria J, Ligabue-Braun R, Clop P, Paglione PA, Perillo MA, Carlini CR, Arrese E, Canavoso LE.   +8 more
europepmc   +1 more source

HyperPUT: generating synthetic faulty programs to challenge bug-finding tools. [PDF]

Empir Softw Eng
Felici R, Pozzi L, Furia CA.
europepmc   +1 more source

Intraspecific microbiome dynamics across the life cycle of the milkweed bugOncopeltus fasciatus

Larner W, Thölke da Silva Grego N, Panfilio KA.   +2 more
europepmc   +1 more source

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Deep Transfer Bug Localization

IEEE Transactions on Software Engineering, 2021
Many projects often receive more bug reports than what they can handle. To help debug and close bug reports, a number of bug localization techniques have been proposed. These techniques analyze a bug report and return a ranked list of potentially buggy source code files.
Xuan Huo, Ferdian Thung, Ming Li, David Lo, Shu-Ting Shi   +4 more
openaire   +4 more sources

On the classification of bug reports to improve bug localization

Soft Computing, 2021
Bug localization is the automated process of finding the possible faulty files in a software project. Bug localization allows developers to concentrate on vital files. Information retrieval (IR)-based approaches have been proposed to assist automatically identify software defects by using bug report information.
Fan Fang, John Wu, Yanyan Li, Xin Ye, Wajdi Aljedaani, Mohamed Wiem Mkaouer   +5 more
openaire   +3 more sources

Bug localization using latent Dirichlet allocation

Information and Software Technology, 2010
Context: Some recent static techniques for automatic bug localization have been built around modern information retrieval (IR) models such as latent semantic indexing (LSI). Latent Dirichlet allocation (LDA) is a generative statistical model that has significant advantages, in modularity and extensibility, over both LSI and probabilistic LSI (pLSI ...
Stacy K. Lukins, Nicholas A. Kraft, Letha H. Etzkorn   +2 more
openaire   +3 more sources

Enhancing bug localization with bug report decomposition and code hierarchical network

Knowledge-Based Systems, 2022
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
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Exploring Metadata in Bug Reports for Bug Localization

2017 24th Asia-Pacific Software Engineering Conference (APSEC), 2017
Information retrieval methods have been proposed to help developers locate related buggy source files for a given bug report. The basic assumption of these methods is that the bug description in a bug report should be textually similar to its buggy source files.
Xiaofei Zhang, Yuan Yao, Yaojing Wang, Feng Xu, Jian Lu   +4 more
openaire   +1 more source