Výsledky vyhľadávania - "D.2"

Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models

Autori: Kiashemshaki, Kiana Chukwuani, Elvis Nnaemeka Torkamani, Mohammad Jalili a ďalší

Zdroj: International Journal of Research Publication and Reviews. 6:1172-1185

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Cryptography and Security, C.2, D.2, D.4.1, D.4.4, D.4.6, I.2.7, Software Engineering, Cryptography and Security (cs.CR)

Prístupová URL adresa: http://arxiv.org/abs/2508.05865

MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning

Autori: Hassan Sartaj Shaukat Ali Julie Marie Gjøby

Zdroj: ACM Transactions on Software Engineering and Methodology. 34:1-36

Predmety: I.2, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2.5, D.2, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://arxiv.org/abs/2410.03585

How Low Can We Go? Minimizing Interaction Samples for Configurable Systems

Autori: Dominik M. Krupke Ahmad Moradi Michael Perk a ďalší

Zdroj: ACM Transactions on Software Engineering and Methodology. 34:1-29

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Optimization and Control (math.OC), D.2, F.2.2, FOS: Mathematics, Mathematics - Optimization and Control

Prístupová URL adresa: http://arxiv.org/abs/2501.06788

Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation: A Corroborative Approach for Verification and Validation

Autori: Abeywickrama, Dhaminda Lee, Suet Bennett, Chris a ďalší

Zdroj: Abeywickrama, D, Lee, S, Bennett, C, Abu-Aisheh, R, Didiot-Cook, T, Jones, S, Hauert, S & Eder, K 2025, Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation. in IEEE International Conference on Engineering Reliable Autonomous Systems. IEEE.
Abeywickrama, D, Lee, S, Bennett, C, Abu-Aisheh, R, Didiot-Cook, T, Jones, S, Hauert, S & Eder, K 2025 'Autonomous Robotic Swarms : A Corroborative Approach for Verification and Validation' arXiv, pp. 1-15. https://doi.org/10.48550/arXiv.2407.15475

Predmety: validation, FOS: Computer and information sciences, Computer Science - Artificial Intelligence, I.2.9, emergent behaviour, simulation, I.6, D.2, model checking, testing, autonomous robotic swarms, Computer Science - Robotics, Artificial Intelligence (cs.AI), verification, Robotics (cs.RO)

Prístupová URL adresa: http://arxiv.org/abs/2407.15475
https://research.manchester.ac.uk/en/publications/f731f3ac-bad0-4eb1-8a0b-c65c87cb6f45
https://research.manchester.ac.uk/en/publications/2068126d-867f-49d4-8fe3-3dc50a206c5d
https://doi.org/10.48550/arXiv.2407.15475

Ten Recommendations for Engineering Research Software in Energy Research

Autori: Stephan Ferenz Emilie Frost Rico Schrage a ďalší

Zdroj: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. :446-459

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2502.13510

Assessing LLMs for Front-end Software Architecture Knowledge

Autori: Guerra, L. P. Franciscatto Ernst, N.

Zdroj: 2025 IEEE/ACM International Workshop on Designing Software (Designing). :6-10

Predmety: I.2, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, D.2

Prístupová URL adresa: http://arxiv.org/abs/2502.19518

Design Obligations for Software, with Examples from Data Abstraction and Adaptive Systems

Autori: Shaw, Mary

Zdroj: 2025 IEEE/ACM International Workshop on Designing Software (Designing). :55-58

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2503.04022

Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem

Autori: Wang, Xingyu Wang, Mingsen Shen, Wenbo a ďalší

Zdroj: 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). :129-140

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2505.12676

PairSmell: A Novel Perspective Inspecting Software Modular Structure: A Novel Perspective Inspecting Software Modular Structure

Autori: Zhong, Chenxing Feitosa, Daniel Avgeriou, Paris a ďalší

Zdroj: 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). :2163-2175

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2411.01012

Revisiting Abstractions for Software Architecture and Tools to Support Them

Autori: Mary Shaw Daniel V. Klein Theodore L. Ross

Zdroj: IEEE Transactions on Software Engineering. 51:768-773

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2503.04008

Understanding the Effect of Agile Practice Quality on Software Product Quality

Autori: Sherlock A. Licorish

Zdroj: IEEE Transactions on Software Engineering. 51:650-662

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, D.2.9, D.2

Prístupová URL adresa: http://arxiv.org/abs/2412.15761

ScaMaha: A Tool for Parsing, Analyzing, and Visualizing Object-Oriented Software Systems

Autori: Al-Msie'deen, Ra'Fat

Zdroj: International Journal of Computing and Digital Systems. 17:1-20

Predmety: Computer Science - Software Engineering, Computer Science - Programming Languages, D.3, D.1, D.2

Prístupová URL adresa: http://arxiv.org/abs/2501.11001

Evaluation of Version Control Merge Tools

Autori: Benedikt Schesch Ryan Featherman Kenneth J Yang a ďalší

Zdroj: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. :831-83

Predmety: Computer Science - Software Engineering, D.2

Prístupová URL adresa: http://arxiv.org/abs/2410.09934

On the Use of Deep Learning Models for Semantic Clone Detection

Autori: Pinku, Subroto Nag Mondal, Debajyoti Roy, Chanchal K.

Zdroj: 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). :512-524

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Machine Learning, D.2.13, D.2, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2412.14739

Model Generation with LLMs: From Requirements to UML Sequence Diagrams

Autori: Ferrari A. Abualhaija S. Arora C.

Zdroj: 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW). :291-300

Predmety: LLM, D.2.1, I.2, FOS: Computer and information sciences, Requirements Engineering, Computer Science - Machine Learning, D.3.1, D.2.2, Computer Science - Computation and Language, Natural language processing, I.2.7, K.6.3, NLP, D.2.10, UML, Machine Learning (cs.LG), Software Engineering (cs.SE), Computer Science - Software Engineering, D.2, Model generation, Large language models, Computation and Language (cs.CL)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2404.06371

Improving classifier-based effort-aware software defect prediction by reducing ranking errors

Autori: Yuchen Guo Martin Shepperd Ning Li

Zdroj: International Conference on Evaluation and Assessment in Software Engineering (EASE)

Predmety: software defect prediction, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, software engineering (cs.SE), ranking error, D.2, ranking strategy, effort-aware

Popis súboru: Electronic

Prístupová URL adresa: http://arxiv.org/abs/2405.07604
https://bura.brunel.ac.uk/handle/2438/29008

Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification

Autori: Dimitri Staufer Frank Pallas Bettina Berendt

Zdroj: The 2024 ACM Conference on Fairness Accountability and Transparency. :733-745

Predmety: H.3, FOS: Computer and information sciences, Computer Science - Computation and Language, H.5, J.4, 300 Sozialwissenschaften::380 Handel, Kommunikation, Verkehr::384 Kommunikation, Telekommunikation, Computer Science - Human-Computer Interaction, LLM-based rephrasing, K.4, 16. Peace & justice, K.5, Computer Science - Information Retrieval, Human-Computer Interaction (cs.HC), whistleblower anonymity, authorship obfuscation, Software Engineering (cs.SE), Computer Science - Computers and Society, Computer Science - Software Engineering, fine-tuning language models, D.2, text sanitization, Computers and Society (cs.CY), Computation and Language (cs.CL), Information Retrieval (cs.IR)

Prístupová URL adresa: http://arxiv.org/abs/2405.01097

MulTi-Wise Sampling: Trading Uniform T-Wise Feature Interaction Coverage for Smaller Samples

Autori: Tobias Pett Sebastian Krieter Thomas Thüm a ďalší

Zdroj: 28th ACM International Systems and Software Product Line Conference. :47-53

Predmety: ddc:004, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Machine Learning, DATA processing & computer science, D.2, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2406.19801

Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

Autori: Partha Chakraborty Krishna Kanth Arumugam Mahmoud Alfadel a ďalší

Zdroj: IEEE Transactions on Software Engineering. 50:2163-2177

Predmety: I.2, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, D.2, 02 engineering and technology, Machine Learning (cs.LG), Software Engineering (cs.SE), Computer Science - Software Engineering, Artificial Intelligence (cs.AI), 0202 electrical engineering, electronic engineering, information engineering, Cryptography and Security (cs.CR)

Prístupová URL adresa: http://arxiv.org/abs/2407.03093

Rocks Coding, Not Development: A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks

Autori: Wei Wang Huilong Ning Gaowei Zhang a ďalší

Zdroj: Proceedings of the ACM on Software Engineering. 1:699-721

Predmety: I.2, Computer Science - Software Engineering, Computer Science - Artificial Intelligence, 65-XX, D.2

Prístupová URL adresa: http://arxiv.org/abs/2402.05650