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ORCIDNIER@ICSE 2024: Lisbon, Portugal
- Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, NIER@ICSE 2024, Lisbon, Portugal, April 14-20, 2024. ACM 2024
- Joran Leest
, Claudia Raibulet, Ilias Gerostathopoulos, Patricia Lago:
Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations. 1-5 - Shyamal Mishra, Preetha Chatterjee:
Exploring ChatGPT for Toxicity Detection in GitHub. 6-10 - Weilin Luo, Weiyuan Fang, Junming Qiu, Hai Wan, Yanan Liu, Rongzhen Ye:
ITG: Trace Generation via Iterative Interaction between LLM Query and Trace Checking. 11-15 - Kostyantyn Vorobyov, François Gauthier, Padmanabhan Krishnan:
Synthesis of Allowlists for Runtime Protection against SQLi. 16-20 - Mahta Amini, Jay Olson, Zohreh Sharafi:
Coding with a Creative Twist: Investigating the Link Between Creativity Scores and problem-solving Strategies. 21-25 - Naoto Sato, Ryota Katsube:
Locating Buggy Segments in Quantum Program Debugging. 26-31 - Haoxin Tu, Lingxiao Jiang, Debin Gao, He Jiang:
Beyond a Joke: Dead Code Elimination Can Delete Live Code. 32-36 - Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso:
Leveraging Large Language Models to Improve REST API Testing. 37-41 - Jiabo Wang, Guojun Chu, Jingyu Wang, Haifeng Sun, Qi Qi, Yuanyi Wang, Ji Qi, Jianxin Liao:
LogExpert: Log-based Recommended Resolutions Generation using Large Language Model. 42-46 - Xin Zhou, Ting Zhang, David Lo:
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. 47-51 - Mohammed Latif Siddiq, Jiahao Zhang, Lindsay Roney, Joanna C. S. Santos:
Re(gEx|DoS)Eval: Evaluating Generated Regular Expressions and their Proneness to DoS Attacks. 52-56 - Lina Boughton, Courtney Miller, Yasemin Acar, Dominik Wermke, Christian Kästner:
Decomposing and Measuring Trust in Open-Source Software Supply Chains. 57-61 - Kasra Darvishi, Morteza Noferesti, Naser Ezzati-Jivan:
Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models. 62-66 - Zerui Wang, Yan Liu, Abishek Arumugam Thiruselvi, Abdelwahab Hamou-Lhadj:
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development. 67-71 - Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk:
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? 72-76 - Marcel Homolka, Luciano Marchezan, Wesley K. G. Assunção, Alexander Egyed:
"Don't Touch my Model!" Towards Managing Model History and Versions during Metamodel Evolution. 77-81 - Vasileios Klimis, Alastair F. Donaldson, Viktor Vafeiadis, John Wickerson, Azalea Raad:
Challenges in Empirically Testing Memory Persistency Models. 82-86 - Renan Lima Baima, Loïck Chovet, Johannes Sedlmeir, Miguel A. Olivares-Méndez, Gilbert Fridgen:
Designing Trustful Cooperation Ecosystems is Key to the New Space Exploration Era. 87-91 - Satrio Adi Rukmono, Lina Ochoa, Michel Chaudron:
Deductive Software Architecture Recovery via Chain-of-thought Prompting. 92-96 - Julien Malka, Stefano Zacchiroli, Théo Zimmermann:
Reproducibility of Build Environments through Space and Time. 97-101 - June Sallou, Thomas Durieux, Annibale Panichella:
Breaking the Silence: the Threats of Using LLMs in Software Engineering. 102-106 - Mootez Saad, Tushar Sharma:
Naturalness of Attention: Revisiting Attention in Code Language Models. 107-111 - Daniel Maninger, Krishna Narasimhan, Mira Mezini:
Towards Trustworthy AI Software Development Assistance. 112-116
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