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NIER@ICSE 2024: Lisbon, Portugal

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  - conf/icse/2024nier
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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
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  - conf/icse/LeestRGL24
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Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, Patricia Lago:
Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations. 1-5
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  - conf/icse/MishraC24
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Shyamal Mishra, Preetha Chatterjee:
Exploring ChatGPT for Toxicity Detection in GitHub. 6-10
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  - conf/icse/LuoFQWLY24
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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
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  - conf/icse/VorobyovGK24
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Kostyantyn Vorobyov, François Gauthier, Padmanabhan Krishnan:
Synthesis of Allowlists for Runtime Protection against SQLi. 16-20
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  - conf/icse/AminiOS24
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Mahta Amini, Jay Olson, Zohreh Sharafi:
Coding with a Creative Twist: Investigating the Link Between Creativity Scores and problem-solving Strategies. 21-25
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  - conf/icse/SatoK24
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Naoto Sato, Ryota Katsube:
Locating Buggy Segments in Quantum Program Debugging. 26-31
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Haoxin Tu, Lingxiao Jiang, Debin Gao, He Jiang:
Beyond a Joke: Dead Code Elimination Can Delete Live Code. 32-36
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  - conf/icse/KimSSSO24
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Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, Alessandro Orso:
Leveraging Large Language Models to Improve REST API Testing. 37-41
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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
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  - conf/icse/ZhouZ024
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Xin Zhou, Ting Zhang, David Lo:
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. 47-51
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  - conf/icse/SiddiqZRS24
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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
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  - conf/icse/BoughtonMAWK24
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Lina Boughton, Courtney Miller, Yasemin Acar, Dominik Wermke, Christian Kästner:
Decomposing and Measuring Trust in Open-Source Software Supply Chains. 57-61
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  - conf/icse/DarvishiNE24
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Kasra Darvishi, Morteza Noferesti, Naser Ezzati-Jivan:
Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models. 62-66
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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
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  - conf/icse/VelascoPRP24
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Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk:
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? 72-76
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  - conf/icse/HomolkaMAE24
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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
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  - conf/icse/KlimisDVWR24
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Vasileios Klimis, Alastair F. Donaldson, Viktor Vafeiadis, John Wickerson, Azalea Raad:
Challenges in Empirically Testing Memory Persistency Models. 82-86
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  - conf/icse/BaimaCSOF24
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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
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  - conf/icse/RukmonoOC24
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Satrio Adi Rukmono, Lina Ochoa, Michel Chaudron:
Deductive Software Architecture Recovery via Chain-of-thought Prompting. 92-96
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Julien Malka, Stefano Zacchiroli, Théo Zimmermann:
Reproducibility of Build Environments through Space and Time. 97-101
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June Sallou, Thomas Durieux, Annibale Panichella:
Breaking the Silence: the Threats of Using LLMs in Software Engineering. 102-106
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  - conf/icse/Saad024
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Mootez Saad, Tushar Sharma:
Naturalness of Attention: Revisiting Attention in Code Language Models. 107-111
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Daniel Maninger, Krishna Narasimhan, Mira Mezini:
Towards Trustworthy AI Software Development Assistance. 112-116

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