Výsledky vyhledávání - "Empirical Studies in Software Engineering"

SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions

Autoři: Luiz Carvalho Renzo Degiovanni Maxime Cordy a další

Zdroj: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering. :1-13

Témata: FOS: Computer and information sciences, Model checking, Automated Software Testing Techniques, 4. Education, Linear temporal logic, Fuzz testing, Computer science, Model Checking, Programming language, Algorithm, Software Fault Localization, Theoretical computer science, Computational Theory and Mathematics, Bug Localization, Solver, Soundness, Computer Science, Physical Sciences, Fuzzing, Boolean satisfiability problem, Satisfiability, Software, Formal Methods in Software Verification and Control, Empirical Studies in Software Engineering, Information Systems

MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning

Autoři: Chenyangguang Zhang Tong Jia Guopeng Shen a další

Zdroj: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering. :1-12

Témata: FOS: Computer and information sciences, Artificial intelligence, System Logs, Computer Networks and Communications, Generalization, Anomaly detection, Leverage (statistics), Mathematical analysis, Machine learning, FOS: Mathematics, 14. Life underwater, Fault Localization, Data mining, Log Analysis, Physics, 15. Life on land, Condensed matter physics, Computer science, Anomaly (physics), 3. Good health, Bug Localization, 13. Climate action, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, Anomaly Detection, Software Reliability Assessment and Prediction, Software, Mathematics, Empirical Studies in Software Engineering, Information Systems, Embedding

Leveraging pre-trained language models for code generation

Autoři: Ahmed Soliman Samir I. Shaheen Mayada Hadhoud

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3955-3980 (2024)

Témata: FOS: Computer and information sciences, Syntax-based Translation Models, Code Clone Detection, Artificial intelligence, Language models, Set (abstract data type), Information technology, 02 engineering and technology, LukeMarian, Artificial Intelligence, RoBERTaMarian, Marian model, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 10. No inequality, Natural Language Processing, Code assistant, Computational intelligence, Code (set theory), Source Code Analysis, Natural language processing, 4. Education, QA75.5-76.95, Statistical Machine Translation and Natural Language Processing, T58.5-58.64, Computer science, Language Modeling, Programming language, 3. Good health, 13. Climate action, Electronic computers. Computer science, Computer Science, Physical Sciences, Code generation, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/52353da9cb7f4f27bc3cea23e9a5fd3a

Modelos de Elicitación de Requisitos Basados en Metodologías Ágiles: Una Revisión Sistemática de la Literatura

Autoři: Anderson Ruiz Rojas Yudi Guzmán-Monteza

Zdroj: Ciencia Latina Revista Científica Multidisciplinar. 7:7691-7712

Témata: FOS: Computer and information sciences, Requirements Engineering, Agile Software Development in Software Engineering, Autonomic Computing and Self-Adaptive Systems, Agile Software Development, FOS: Philosophy, ethics and religion, Philosophy, Software Architecture, Software Process Improvement, Artificial Intelligence, Computer Science, Physical Sciences, Requirements Traceability, Information Systems, Empirical Studies in Software Engineering

Smell-Aware Bug Classification

Autoři: null Khyber Sikandar Ali Fazli Wahid a další

Zdroj: IEEE Access, Vol 12, Pp 14061-14082 (2024)

Témata: FOS: Computer and information sciences, Code Clone Detection, Artificial intelligence, source code, Support vector machine, smell-aware, Software Defect Prediction, Software quality, Set (abstract data type), Code smell, Software bug, Characterization and Detection of Android Malware, Machine learning, Source code, Data mining, Code (set theory), Source Code Analysis, Precision and recall, bugs classification, Software engineering, Naive Bayes classifier, 4. Education, Software development, Computer science, TK1-9971, Programming language, Sensitivity Analysis, Maintainability, Computer Science, Physical Sciences, Signal Processing, Software Reliability Modeling, Electrical engineering. Electronics. Nuclear engineering, Software Reliability Assessment and Prediction, Software, Java, Empirical Studies in Software Engineering, Information Systems, Random forest

Přístupová URL adresa: https://doaj.org/article/5a8b603ffc5b4e7ca2882ee05b76d3b8

Enhancing Software Co-Change Prediction: Leveraging Hybrid Approaches for Improved Accuracy

Autoři: Mohammed Zagane Mamdouh Alenezi

Zdroj: IEEE Access, Vol 12, Pp 68441-68452 (2024)

Témata: FOS: Computer and information sciences, Code Clone Detection, Artificial intelligence, Computer Networks and Communications, Software Defect Prediction, 12. Responsible consumption, Context (archaeology), Model-driven Performance Prediction, Machine learning, 14. Life underwater, Software maintenance, Data mining, Biology, Source Code Analysis, Software construction, Software engineering, code metrics, Software analytics, char n-gram embedding, neural embedding model, Paleontology, Software development, Deep learning, 15. Life on land, Computer science, TK1-9971, Programming language, Software metric, 13. Climate action, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, Software system, Software Reliability Modeling, Electrical engineering. Electronics. Nuclear engineering, Software Reliability Assessment and Prediction, change prediction, Co-change prediction, change impact analysis, Software, Consistency (knowledge bases), Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/9088363a9ad04454830eec4363aaea23

Toward Reduction in False Positives Just-In-Time Software Defect Prediction Using Deep Reinforcement Learning

Autoři: Ahmad Zuhdi Ismail Siti Hafizah Ab Hamid Asmiza Abdul Sani a další

Zdroj: IEEE Access, Vol 12, Pp 47568-47580 (2024)

Témata: FOS: Computer and information sciences, Artificial intelligence, QA75 Electronic computers. Computer science, False positive paradox, Software Defect Prediction, Geometry, Dynamic Analysis, Deep Q-Network, Characterization and Detection of Android Malware, Deep Learning, False positives and false negatives, QA76 Computer software, Reinforcement learning, Machine learning, false positives, FOS: Mathematics, Fault Detection and Correction, Data mining, Computer science, TK1-9971, Programming language, Computer Science, Physical Sciences, Signal Processing, Software Reliability Modeling, Reduction (mathematics), Electrical engineering. Electronics. Nuclear engineering, Software Reliability Assessment and Prediction, Classifier (UML), Software defect prediction, Software, Mathematics, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/dec7a1c5a9eb4be4abac954c05ece237

Ambiguity Detection and Improvement for Malay Requirements Specification: A Systematic Review

Autoři: Mohd Firdaus Zahrin Mohd Hafeez Osman Syed Tajuddin Syed Hassan a další

Zdroj: International Journal on Advanced Science, Engineering and Information Technology. 13:2294-2301

Témata: FOS: Computer and information sciences, Ambiguity, Artificial intelligence, Economics, Software Defect Prediction, Agile Software Development in Software Engineering, Context (archaeology), Fault Detection and Correction, Government (linguistics), 14. Life underwater, 10. No inequality, Biology, Malay, Software engineering, 9. Industry and infrastructure, Public sector, Natural language processing, Paleontology, Linguistics, Economy, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, Programming language, 3. Good health, Philosophy, Software Process Improvement, Natural language, 13. Climate action, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature, Software Reliability Modeling, Software Reliability Assessment and Prediction, Software, Empirical Studies in Software Engineering, Information Systems

THE AGILE TRANSITION PROCESS OF ORGANIZATIONS IN SOFTWARE DEVELOPMENT PROJECT MANAGEMENT

Autoři: Mariângela Pinton Alvair Silveira Torres

Zdroj: REPAE - Revista de Ensino e Pesquisa em Administração e Engenharia. 9:16-37

Témata: FOS: Computer and information sciences, Engineering management, Computer Networks and Communications, Lean software development, 02 engineering and technology, Agile Software Development in Software Engineering, Systems engineering, 12. Responsible consumption, Engineering, Project management, Agile Unified Process, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Business, Software construction, Software engineering, Software development process, 9. Industry and infrastructure, 4. Education, Software project management, Software development, Agile Software Development, Computer science, Process (computing), Programming language, Operating system, Software Process Improvement, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, 8. Economic growth, Process management, Agile software development, Software, Information Systems, Empirical Studies in Software Engineering

Do CONTRIBUTING Files Provide Information about OSS Newcomers’ Onboarding Barriers?

Autoři: Felipe Fronchetti David Shepherd Igor Wiese a další

Zdroj: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :16-28

Témata: FOS: Computer and information sciences, Knowledge management, Social Sciences, Onboarding, Social psychology, Data science, open source, Psychology, onboarding, 10. No inequality, Source Code Analysis, 9. Industry and infrastructure, Communication, 4. Education, FLOSS, novices, Computer science, Computer Science Applications, 3. Good health, World Wide Web, FOS: Psychology, Computer Science, Physical Sciences, open collaboration, 8. Economic growth, Innovation and Collaboration in Open Source Community, Collaboration and Dynamics in Wikipedia Research, software engineering, Empirical Studies in Software Engineering, Information Systems

Popis souboru: application/pdf

Training software architects suiting software industry needs: A literature review

Autoři: Wilson Libardo Pantoja Yépez Julio Ariel Hurtado Alegría Ajay Bandi a další

Zdroj: Education and Information Technologies. 29:10931-10994

Témata: FOS: Computer and information sciences, Engineering management, Knowledge management, Software quality, 02 engineering and technology, Agile Software Development in Software Engineering, Autonomic Computing and Self-Adaptive Systems, Personal software process, Engineering, Software Architecture, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Source Code Analysis, Software construction, Software engineering, 9. Industry and infrastructure, 4. Education, Resource-oriented architecture, Software development, Computer science, Social software engineering, Programming language, Team software process, Software Process Improvement, Computer Science, Physical Sciences, Software, Information Systems, Empirical Studies in Software Engineering

Uncovering and Categorizing Social Biases in Text-to-SQL

Autoři: Yan Lei Gao Yan Zhe Su a další

Přispěvatelé: Yan Lei Gao Yan Zhe Su a další

Zdroj: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Témata: FOS: Computer and information sciences, Artificial intelligence, Explainable Artificial Intelligence, Economics, Social psychology, Data science, Database, Task (project management), Artificial Intelligence, Machine learning, Psychology, Model Interpretability, Natural Language Processing, SQL, Computer Science - Computation and Language, Topic Modeling, Natural language processing, Harm, Computer science, Management, FOS: Psychology, Computer Science, Physical Sciences, Computation and Language (cs.CL), Interpretable Models, Empirical Studies in Software Engineering, Information Systems

Popis souboru: application/application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2305.16253
http://hdl.handle.net/20.500.11850/652076

Automatic software bug prediction using adaptive golden eagle optimizer with deep learning

Autoři: R. Siva S. Kaliraj Bharath Hariharan a další

Zdroj: Multimedia Tools and Applications. 83:1261-1281

Témata: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Data pre-processing, Software Defect Prediction, Software quality, 02 engineering and technology, Software bug, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Fault Detection and Correction, 14. Life underwater, Data mining, Preprocessor, Software Maintenance, Deep learning, Software development, 15. Life on land, Computer science, Programming language, Bug Localization, 13. Climate action, Computer Science, Physical Sciences, Feature selection, Software Reliability Modeling, Software Reliability Assessment and Prediction, Software regression, Software, Empirical Studies in Software Engineering, Information Systems

Automatic Software Bug Prediction Using Adaptive Artificial Jelly Optimization With Long Short-Term Memory

Autoři: R. Siva S. Kaliraj Bharath Hariharan a další

Zdroj: Wireless Personal Communications. 132:1975-1998

Témata: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Computer Networks and Communications, Software Defect Prediction, Overfitting, Software quality, 02 engineering and technology, Software bug, Reliability engineering, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Fault Detection and Correction, Data mining, Software Maintenance, 4. Education, Software development, Computer science, Process (computing), Programming language, Operating system, Bug Localization, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, Feature selection, Software Reliability Modeling, Software Reliability Assessment and Prediction, Software regression, Classifier (UML), Software, Empirical Studies in Software Engineering, Information Systems

Machine Learning-Based Exploration of the Impact of Move Method Refactoring on Object-Oriented Software Quality Attributes

Autoři: Jehad Al Dallal Hanady M. Abdulsalam Mohammad AlMarzouq a další

Zdroj: Arabian Journal for Science and Engineering. 49:3867-3885

Témata: FOS: Computer and information sciences, Artificial intelligence, Class (philosophy), Refactoring, Empirical research, Software quality, Set (abstract data type), 02 engineering and technology, Epistemology, Agile Software Development in Software Engineering, Systems engineering, Task (project management), Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Source code, Data mining, Code (set theory), Source Code Analysis, Software engineering, 9. Industry and infrastructure, Statistics, Software development, Computer science, Programming language, FOS: Philosophy, ethics and religion, Philosophy, Code refactoring, Computer Science, Physical Sciences, Quality (philosophy), Software Reliability Modeling, Software Reliability Assessment and Prediction, Software, Java, Mathematics, Empirical Studies in Software Engineering, Information Systems

Classificação da qualidade da argumentação em tweets no domínio da política brasileira

Autoři: Cássio Faria da Silva Vânia Paula de Almeida Néris Helena de Medeiros Caseli

Zdroj: Linguamática, Vol 15, Iss 1 (2023)

Témata: tweet, FOS: Computer and information sciences, Discourse Analysis, Literature and Literary Theory, política brasileira, Language and Literature, Social Sciences, P1-1091, FOS: Humanities, avaliação da qualidade da argumentação, Computer science, Discourse Analysis and Literacy Studies, FOS: Philosophy, ethics and religion, Humanities, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, Automated Detection of Hate Speech and Offensive Language, Arts and Humanities, Philology. Linguistics, BERT, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/a87d26c1b89f48a0970e050aa102a1c0

Effect of requirements specification using native language on external software quality

Autoři: Fernando Uyaguari Cathy Guevara‐Vega Antonio Quiña‐Mera a další

Zdroj: IET Software, Vol 17, Iss 3, Pp 287-300 (2023)

Témata: FOS: Computer and information sciences, Software Defect Prediction, Social Sciences, Software quality, Business, Management and Accounting, Software requirements specification, Epistemology, 02 engineering and technology, Agile Software Development in Software Engineering, Information Systems Outsourcing and Offshoring, Management Information Systems, QA76.75-76.765, Context (archaeology), Specification language, 0202 electrical engineering, electronic engineering, information engineering, Computer software, Software design, Biology, Software engineering, 9. Industry and infrastructure, 4. Education, Paleontology, Software development, software quality, Computer science, Programming language, FOS: Philosophy, ethics and religion, Philosophy, 13. Climate action, Language Of Temporal Ordering Specification, Computer Science, Physical Sciences, 8. Economic growth, Quality (philosophy), Formal specification, Software, software engineering, Information Systems, Empirical Studies in Software Engineering

Přístupová URL adresa: https://doaj.org/article/1fc5e5a5d9b342efadf6377ce25427a9

Resource Allocation Modeling Framework to Refactor Software Design Smells

Autoři: Priyanka Gupta Adarsh Anand Mohamed Arezki Mellal

Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 8, Iss 2, Pp 213-229 (2023)

Témata: FOS: Computer and information sciences, Technology, Code Clone Detection, Refactoring, Computer Networks and Communications, Resource (disambiguation), 0211 other engineering and technologies, Software Defect Prediction, Software quality, Set (abstract data type), 02 engineering and technology, Code smell, 12. Responsible consumption, 11. Sustainability, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, refactoring process, Software design, Code (set theory), Source Code Analysis, Software construction, Computer network, Software engineering, 9. Industry and infrastructure, Software evolution, resource allocation optimization problem, Software development, Computer science, 6. Clean water, Programming language, 13. Climate action, Log Analysis and System Performance Diagnosis, Code refactoring, nhpp modeling framework, Computer Science, Physical Sciences, code smells, Software system, Software Reliability Modeling, Software Reliability Assessment and Prediction, Mathematics, Software, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/32585ae06b874e98ba07e9cbc6f60e9c
https://doi.org/10.33889/IJMEMS.2023.8.2.013

Clasificación de texto con NLP en tweets relacionados con desastres naturales

Autoři: Patrik Renee Quenta Nina Frank Berly Quispe Cahuana

Zdroj: Innovación y Software, Vol 4, Iss 1, Pp 198-203 (2023)

Témata: FOS: Computer and information sciences, Cartography, Artificial intelligence, Geography, Communication, Natural language processing, Social Sciences, FOS: Humanities, Computer science, FOS: Philosophy, ethics and religion, Humanities, Philosophy, Sentiment Analysis and Opinion Mining, Artificial Intelligence, Computer Science, Physical Sciences, Crisis Communication and Social Media Use, T1-995, Social Media, Technology (General), Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/ec9ae7943f46460581f1eeda1a8789b3

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster

Autoři: Andrea Arcuri Man Zhang Asma Belhadi a další

Zdroj: Softw Qual J
Software Quality Journal

Témata: FOS: Computer and information sciences, Engineering management, Empirical research, Epistemology, Mathematical analysis, Article, Systems engineering, Characterization and Detection of Android Malware, Engineering, FOS: Mathematics, Automated Testing, Software construction, Software engineering, Automated Software Testing Techniques, Domain (mathematical analysis), Software development, Computer science, Programming language, FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, Signal Processing, Software, Mathematics, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37692292