Results 141 to 150 of about 21,535 (253)

Subject source code for Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams

, 2019
Raffi Khatchadourian
openalex   +2 more sources

Analyzing and mitigating (with LLMs) the security misconfigurations of Helm charts from Artifact Hub. [PDF]

Empir Softw Eng
Minna F, Massacci F, Tuma K.
europepmc   +1 more source

Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting? [PDF]

PeerJ Comput Sci
Alturayeif N, Hassine J.
europepmc   +1 more source

Detecting refactoring type of software commit messages based on ensemble machine learning algorithms. [PDF]

Sci Rep
Al-Fraihat D, Sharrab Y, Al-Ghuwairi AR, Sbaih N, Qahmash A.   +4 more
europepmc   +1 more source

SmellyCode++: Multi-Label Dataset for Code Smell Detection. [PDF]

Sci Data
Alomari N, Alazba A, Aljamaan H, Alshayeb M.   +3 more
europepmc   +1 more source

A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique. [PDF]

Sci Rep, 2023
Rao RS, Dewangan S, Mishra A, Gupta M.
europepmc   +1 more source

Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience. [PDF]

Commun Psychol
Roth J, Duan Y, Mahner FP, Kaniuth P, Wallis TSA, Hebart MN.   +5 more
europepmc   +1 more source

Refactored genetic codes enable bidirectional genetic isolation. [PDF]

Science, 2022
Zürcher JF, Robertson WE, Kappes T, Petris G, Elliott TS, Salmond GPC, Chin JW.   +6 more
europepmc   +1 more source

Empowering bioinformatics communities with Nextflow and nf-core. [PDF]

Genome Biol
Langer BE, Amaral A, Baudement MO, Bonath F, Charles M, Chitneedi PK, Clark EL, Di Tommaso P, Djebali S, Ewels PA, Eynard S, Fellows Yates JA, Fischer D, Floden EW, Foissac S, Gabernet G, Garcia MU, Gillard G, Gundappa MK, Guyomar C, Hakkaart C, Hanssen F, Harrison PW, Hörtenhuber M, Kurylo C, Kühn C, Lagarrigue S, Lallias D, Macqueen DJ, Miller E, Mir-Pedrol J, Moreira GCM, Nahnsen S, Patel H, Peltzer A, Pitel F, Ramayo-Caldas Y, Ribeiro-Dantas MDC, Rocha D, Salavati M, Sokolov A, Espinosa-Carrasco J, Notredame C, Community TN.   +43 more
europepmc   +1 more source

A Developer-Oriented Framework for Assessing Power Consumption in Mobile Applications: Android Energy Smells Case Study. [PDF]

Sensors (Basel)
Groza C, Dumitru-Cristian A, Marcu M, Bogdan R.   +3 more
europepmc   +1 more source