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ORCID31st ICPC 2023: Melbourne, Australia
- 31st IEEE/ACM International Conference on Program Comprehension, ICPC 2023, Melbourne, Australia, May 15-16, 2023. IEEE 2023, ISBN 979-8-3503-3750-1
- Yanlin Zhou, Shaoyu Yang, Xiang Chen, Zichen Zhang, Jiahua Pei:
QTC4SO: Automatic Question Title Completion for Stack Overflow. 1-12 - Ramin Shahbazi, Fatemeh Hendijani Fard:
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation. 13-24 - Shiyu Yang
, Tetsuya Kanda, Davide Pizzolotto, Daniel M. Germán, Yoshiki Higo:
PyVerDetector: A Chrome Extension Detecting the Python Version of Stack Overflow Code Snippets. 25-29 - Akhila Sri Manasa Venigalla, Mir Sameed Ali, Nikhil Manjunath, Sridhar Chimalakonda:
RCGraph - A Tool to Integrate Readme and Commits through Temporal Knowledge Graphs. 30-34 - Markus Böck, Sarra Habchi, Mathieu Nayrolles, Jürgen Cito:
Performance Prediction From Source Code Is Task and Domain Specific. 35-42 - Ava Heinonen, Fabian Fagerholm:
Understanding initial API comprehension. 43-53 - Giovanna Broccia, Alessio Ferrari, Maurice H. ter Beek, Walter Cazzola, Luca Favalli, Francesco Bertolotti:
Evaluating a Language Workbench: from Working Memory Capacity to Comprehension to Acceptance. 54-58 - Edoardo Riggio, Marco Raglianti, Michele Lanza:
Conversation Disentanglement As-a-Service. 59-63 - Robert Husák, Jan Kofron, Filip Zavoral:
Slicito: Using Computational Notebooks for Program Comprehension. 64-68 - Gianlorenzo Occhipinti, Csaba Nagy, Roberto Minelli, Michele Lanza:
SYN: Ultra-Scale Software Evolution Comprehension. 69-73 - Pattarakrit Rattanukul, Chansida Makaranond, Pumipat Watanakulcharus, Chaiyong Ragkhitwetsagul, Tanapol Nearunchorn, Vasaka Visoottiviseth, Morakot Choetkiertikul, Thanwadee Sunetnanta:
Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems. 74-78 - Mridha Md. Nafis Fuad, Kazi Sakib:
WebEV: A Dataset on the Behavior of Testers for Web Application End to End Testing. 79-83 - Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Aït Mohamed, Naser Ezzati-Jivan:
Towards a Classification of Log Parsing Errors. 84-88 - Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi:
An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. 89-100 - Sakib Haque, Aakash Bansal, Collin McMillan:
Label Smoothing Improves Neural Source Code Summarization. 101-112 - Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin:
Interpretation-based Code Summarization. 113-124 - Claudio Ferretti, Martina Saletta:
Naturalness in Source Code Summarization. How Significant is it? 125-134 - Amr S. Abdelfattah, Tomás Cerný, Davide Taibi, Sira Vegas:
Comparing 2D and Augmented Reality Visualizations for Microservice System Understandability: A Controlled Experiment. 135-145 - Shuai Fu, Tim Dwyer, Peter J. Stuckey, Jackson Wain, Jesse Linossier:
ChameleonIDE: Untangling Type Errors Through Interactive Visualization and Exploration. 146-156 - Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li:
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. 157-168 - Subroto Nag Pinku, Debajyoti Mondal, Chanchal K. Roy:
Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection. 169-180 - Eunjong Choi, Norihiro Fuke, Yuji Fujiwara, Norihiro Yoshida, Katsuro Inoue:
Investigating the Generalizability of Deep Learning-based Clone Detectors. 181-185 - Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, Biruk Asmare Muse, Foutse Khomh, Vittoria Nardone, Massimiliano Di Penta:
UnityLint: A Bad Smell Detector for Unity. 186-190 - Di Cui, Qiangqiang Wang, Siqi Wang, Jianlei Chi, Jianan Li, Lu Wang, Qingshan Li:
REMS: Recommending Extract Method Refactoring Opportunities via Multi-view Representation of Code Property Graph. 191-202 - Jie Zhu, Lingwei Li, Li Yang, Xiaoxiao Ma, Chun Zuo:
Automating Method Naming with Context-Aware Prompt-Tuning. 203-214 - Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo:
Generation-based Code Review Automation: How Far Are Weƒ. 215-226 - Dror G. Feitelson:
Reanalysis of Empirical Data on Java Local Variables with Narrow and Broad Scope. 227-236 - Zhipeng Cai, Songqiang Chen, Xiaoyuan Xie:
Properly Offer Options to Improve the Practicality of Software Document Completion Tools. 237-241 - Wenjie Xu, Lin Chen, Chenghao Su, Yimeng Guo, Yanhui Li, Yuming Zhou, Baowen Xu:
How Well Static Type Checkers Work with Gradual Typing? A Case Study on Python. 242-253 - Patrick Rein, Tom Beckmann, Eva Krebs, Toni Mattis, Robert Hirschfeld:
Too Simple? Notions of Task Complexity used in Maintenance-based Studies of Programming Tools. 254-265 - Sofiane Dissem, Eli Pregerson, Adi Bhargava, Josh Cordova, Lucas Bang:
Path Complexity Correlates with Source Code Comprehension Effort Indicators. 266-274 - Kevin Cao, Kevin Leach:
Revisiting Deep Learning for Variable Type Recovery. 275-279 - Zejian Shi, Yun Xiong, Yao Zhang, Zhijie Jiang, Jinjing Zhao, Lei Wang, Shanshan Li:
Improving Code Search with Multi-Modal Momentum Contrastive Learning. 280-291 - Jason Kim, Daniel Genkin, Kevin Leach:
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries. 292-303 - Yan Lei, Tiantian Wen, Huan Xie, Lingfeng Fu, Chunyan Liu, Lei Xu, Hongxia Sun:
Mitigating the Effect of Class Imbalance in Fault Localization Using Context-aware Generative Adversarial Network. 304-315 - Yanqi Su, Zheming Han, Zhipeng Gao, Zhenchang Xing, Qinghua Lu, Xiwei Xu:
Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue. 316-327 - Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. 328-338 - Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, Lexiao Zhang:
FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic. 339-350
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