Výsledky vyhľadávania - "Software and its engineering Software creation and management Software development techniques"

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities.

Autori: Yang, Zezhou Chen, Sirong Gao, Cuiyun a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Sep2025, Vol. 34 Issue 7, p1-28, 28p

Predmety: CODE generators, DEEP learning, INFORMATION architecture, SEARCH algorithms, MULTISENSOR data fusion, LANGUAGE models, MACHINE learning

ROSE: An IDE-Based Interactive Repair Framework for Debugging.

Autori: Reiss, Steven P. Wei, Xuan Yuan, Jiahao a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-39, 39p

Predmety: DEBUGGING, SOFTWARE development tools, DEFECT tracking (Computer software development), SOFTWARE maintenance

RAPID: Zero-Shot Domain Adaptation for Code Search with Pre-Trained Models.

Autori: Fan, Guodong Chen, Shizhan Gao, Cuiyun a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Jun2024, Vol. 33 Issue 5, p1-35, 35p

Predmety: SHOT peening, NATURAL languages, TASK performance, DATA modeling, SOFTWARE maintenance

Deep Is Better? An Empirical Comparison of Information Retrieval and Deep Learning Approaches to Code Summarization.

Autori: Zhu, Tingwei Li, Zhong Pan, Minxue a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Mar2024, Vol. 33 Issue 3, p1-37, 37p

Predmety: INFORMATION retrieval, COMPUTER programming education, DEEP learning, SOURCE code, EMPIRICAL research, STATISTICAL models

EXCHANGE OF OCCUPATIONAL HEALTH ASSESSMENT SUMMARIES BASED ON THE EN 13606 STANDARD.

Autori: KRASTEV, EVGENIY KOVACHEV, PETKO ABANOS, SIMEON a ďalší

Zdroj: Annual of Sofia University 'St. Kliment Ohridski'. Faculty of Mathematics & Informatic; 2024, Vol. 111, p139-152, 14p

Predmety: OCCUPATIONAL diseases, INDUSTRIAL hygiene, OCCUPATIONAL hazards, OCCUPATIONAL medicine, WEB-based user interfaces

GAME THEME BASED INSTRUCTIONAL MODULE TO TEACH LOOPS AND CHOICE STATEMENTS IN COMPUTER SCIENCE COURSES.

Autori: TRPKOSKI, MITKO BOCEVSKA, ANDRIJANA NEDELKOVSKI, IGOR a ďalší

Zdroj: Annual of Sofia University 'St. Kliment Ohridski'. Faculty of Mathematics & Informatic; 2023, Vol. 110, p127-138, 12p

Predmety: SCRIPTING languages (Computer science), COMPUTER engineering, COMPUTER science, EDUCATIONAL games, DIRECT instruction

Code Structure–Guided Transformer for Source Code Summarization.

Autori: SHUZHENG GAO CUIYUN GAO YULAN HE a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Jan2023, Vol. 32 Issue 1, p1-32, 32p

Predmety: SOURCE code, DEEP learning, SOFTWARE maintenance

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.

Autori: WATSON, CODY COOPER, NATHAN PALACIO, DAVID NADER a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Apr2022, Vol. 31 Issue 2, p1-58, 58p

Predmety: SOFTWARE engineers, SOFTWARE engineering, DEEP learning, MACHINE learning, CONCEPT learning

Vector-Quantization-Based Topic Modeling.

Autori: Gupta, Amulya Zhang, Zhu

Zdroj: ACM Transactions on Intelligent Systems & Technology; Jun2021, Vol. 12 Issue 3, p1-30, 30p

Predmety: VECTOR quantization, NATURAL languages, DEEP learning

Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction.

Autori: QIUYUAN CHEN XIN XIA HAN HU a ďalší

Zdroj: ACM Transactions on Software Engineering & Methodology; Mar2021, Vol. 30 Issue 2, p1-29, 29p

Predmety: MACHINE learning, SOURCE code, FORECASTING

Variability Mechanisms and Lessons Learned in Practice.

Autori: Bo Zhang Duszynski, Slawomir Becker, Martin

Zdroj: Proceedings of the 1st International Workshop on Variability & Complexity in Software Design; 2016, p14-20, 7p

Understanding the Exception Handling Strategies of Java Libraries: An Empirical Study.

Autori: Sena, Demóstenes Coelho, Roberta Kulesza, Uirá a ďalší

Zdroj: Proceedings of the 13th International Workshop on Mining Software Repositories; 2016, p212-222, 11p

A comparison of two SPLE tools : Pure::Variants and Clafer tools

Autori: Oksanen, Miika Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta, Tietojenkäsittelytieteen laitos University of Helsinki, Faculty of Science, Department of Computer Science a ďalší

Prispievatelia: Oksanen, Miika Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta, Tietojenkäsittelytieteen laitos University of Helsinki, Faculty of Science, Department of Computer Science a ďalší

Predmety: Computer science, Tietojenkäsittelytiede, Datavetenskap

Popis súboru: application/pdf

Relation: http://hdl.handle.net/10138/273574

Dostupnosť: http://hdl.handle.net/10138/273574