SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing

Συγγραφείς: Yi Liu, Guanyu Wang, Xinyi Zheng, Gelei Deng, Kailong Wang, Yang Liu, Haoyu Wang

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-25

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.18512

Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study

Συγγραφείς: Xinyi Wang, Shaukat Ali, Paolo Arcaini, Narasimha Raghavan Veeraragavan, Jan F. Nygård

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-24

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.04740

Tracing Optimization for Performance Modeling and Regression Detection

Συγγραφείς: Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-43

Θεματικοί όροι: Software Engineering (cs.SE), Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Performance, Hardware and Architecture, Computer Networks and Communications, Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Software System Performance and Reliability, Information Systems

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.17548

Learning Program Behavioral Models from Synthesized Input–Output Pairs

Συγγραφείς: Tural Mammadov, Dietrich Klakow, Alexander Koller, Andreas Zeller

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-45

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, D.2.5, I.2.6, Software Testing, D.2.7, F.1.1, F.4.3, Mocking, 68T07 (Primary), 68N30 (Secondary), 68Q42, Machine Learning (cs.LG), Software Engineering (cs.SE), Computer Science - Software Engineering, Deep Learning, Software Reverse Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.08597

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model

Συγγραφείς: Lipeng Ma, Weidong Yang, Yixuan Li, Ben Fei, Mingjie Zhou, Shuhao Li, Sihang Jiang, Bo Xu, Yanghua Xiao

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-42

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computation and Language (cs.CL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.11031

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models

Συγγραφείς: Jianming Chang, Xin Zhou 0014, Lulu Wang 0001, David Lo 0001, Bixin Li

Πηγή: IEEE Transactions on Software Engineering. 52:1531-1548

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2502.15292

Towards Refining Developer Questions Using LLM-Based Named Entity Recognition for Developer Chatroom Conversations

Συγγραφείς: Pouya Fathollahzadeh, Mariam El Mezouar, Hao Li 0094, Ying Zou 0001, Ahmed E. Hassan

Πηγή: IEEE Transactions on Software Engineering. 52:1391-1406

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Machine Learning, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2503.00673

Software Testing in the Quantum World

Συγγραφείς: Rui Abreu 0001, Shaukat Ali 0001, Paolo Arcaini, José Campos 0001, Michael Felderer, Claude Gravel, Fuyuki Ishikawa, Stefan Klikovits, Andriy V. Miranskyy, Anila Mjeda, Mohammad Reza Mousavi 0001, Masaomi Yamaguchi, Lei Zhang 0078, Jianjun Zhao 0001

Πηγή: Abreu, R, Ali, S, Arcaini, P, Campos, J, Felderer, M, Gravel, C, Ishikawa, F, Klikovits, S, Miranskyy, A, Mjeda, A, Mousavi, M, Yamaguchi, M, Zhang, L & Zhao, J 2026, 'Software Testing in the Quantum World', Computer, vol. 59, no. 4, pp. 135-138. https://doi.org/10.1109/MC.2026.3655854

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, UMBC Emerging Software Technologies Lab, Software Engineering

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2601.13996
https://kclpure.kcl.ac.uk/portal/en/publications/e42f43ac-7698-45ec-a221-830fe87ea54f
https://doi.org/10.1109/MC.2026.3655854
https://kclpure.kcl.ac.uk/ws/files/363254355/mousavi-computer-2026.pdf
https://www.scopus.com/pages/publications/105034943159

Towards Secure Program Partitioning for Smart Contracts With LLM’s In-Context Learning

Συγγραφείς: Ye Liu 0012, Yuqing Niu, Chengyan Ma 0001, Ruidong Han, Wei Ma 0014, Yi Li 0008, Debin Gao, David Lo 0001

Πηγή: IEEE Transactions on Software Engineering. 52:1549-1567

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2502.14215

Prompting Frameworks for Large Language Models: A Survey

Συγγραφείς: Xiaoxia Liu, Jingyi Wang, Xiaohan Yuan, Jun Sun, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

Πηγή: ACM Computing Surveys. 58:1-38

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2311.12785

A Quantitative Framework for Evaluating Architectural Patterns in ML Systems

Συγγραφείς: Simeon Emanuilov, Aleksandar Dimov

Πηγή: International Journal of Software Engineering and Knowledge Engineering. 36:1059-1088

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.11543

Analysis of Diffusion Properties in Generalized Feistel Ciphers Under Multidimensional Linear Cryptanalysis

Συγγραφείς: Ozdemir, Betul Askin, Rijmen, Vincent

Πηγή: IACR Transactions on Symmetric Cryptology; Vol. 2026 No. 1; 376-409

Θεματικοί όροι: Technology, Generic Attack, Science & Technology, CAST-256, Computer Science, Theory & Methods, Generalized Feistel Ciphers, Computer Science, GMIMC, GMiMC, Computer Science, Software Engineering, Diffusion Property, Multidimensional Linear Cryptanalysis

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://eprint.iacr.org/2025/2333
https://tosc.iacr.org/index.php/ToSC/article/view/12790
https://lirias.kuleuven.be/handle/20.500.12942/784980
https://doi.org/10.46586/tosc.v2026.i1.376-409

LLM-Based Misconfiguration Detection for AWS Serverless Computing

Συγγραφείς: Jinfeng Wen, Zhenpeng Chen, Zixi Zhu, Federica Sarro, Yi Liu, Haodi Ping, Shangguang Wang

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-28

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.00642

SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems

Συγγραφείς: Huiwen Yang, Yu Zhou, Taolue Chen

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-32

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Robotics, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.13802

On the Utility of Domain Modeling Assistance with Large Language Models

Συγγραφείς: Meriem Ben Chaaben, Lola Burgueño, Istvan David, Houari Sahraoui

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-38

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.12577

Enhancing Differential Testing with LLMs for Testing Deep Learning Libraries

Συγγραφείς: Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-39

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), I.2.5, Computer Science - Artificial Intelligence, D.2.5

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2406.07944

LLM-Cure: LLM-Based Competitor User Review Analysis for Feature Enhancement

Συγγραφείς: Maram Assi, Safwat Hassan, Ying Zou

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-25

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Information Retrieval (cs.IR), Computer Science - Information Retrieval

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2409.15724

NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations

Συγγραφείς: Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia

Πηγή: ACM Transactions on Software Engineering and Methodology. 35:1-20

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Computation and Language, Computation and Language (cs.CL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2406.19783

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking

Συγγραφείς: Robin D. Pesl, Jerin George Mathew, Massimo Mecella, Marco Aiello 0001

Πηγή: IEEE Transactions on Services Computing. 19:1520-1534

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.19310

Subgraph-Oriented Testing for Deep Learning Libraries

Συγγραφείς: Xiaoyuan Xie, Yan Song, Songqiang Chen, Jinfu Chen 0002

Πηγή: IEEE Transactions on Software Engineering. 52:908-922

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.06430