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ORCID30th ICPC 2022: Virtual Event
- Ayushi Rastogi, Rosalia Tufano, Gabriele Bavota, Venera Arnaoudova, Sonia Haiduc:
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, ICPC 2022, Virtual Event, May 16-17, 2022. ACM 2022, ISBN 978-1-4503-9298-3
Summarization
- Junda He, Bowen Xu, Zhou Yang, DongGyun Han
, Chengran Yang, David Lo:
PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. 1-11 - Yu Wang, Yu Dong, Xuesong Lu, Aoying Zhou:
GypSum: learning hybrid representations for code summarization. 12-23 - Yuexiu Gao, Chen Lyu:
M2TS: multi-scale multi-modal approach based on transformer for source code summarization. 24-35 - Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan:
Semantic similarity metrics for evaluating source code summarization. 36-47 - Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard:
LAMNER: code comment generation using character language model and named entity recognition. 48-59
Program representation 1
- Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen:
Zero-shot program representation learning. 60-70 - Divyam Goel, Ramansh Grover, Fatemeh H. Fard:
On the cross-modal transfer from natural language to code through adapter modules. 71-81 - Shouliang Yang, Xiaodong Gu, Beijun Shen:
Self-supervised learning of smart contract representations. 82-93 - Md Rakib Hossain Misu, Abdus Satter:
An exploratory study of analyzing JavaScript online code clones. 94-98 - Imam Nur Bani Yusuf, Lingxiao Jiang, David Lo:
Accurate generation of trigger-action programs with domain-adapted sequence-to-sequence learning. 99-110
Complexity from a cognitive perspective
- Amine Abbad Andaloussi, Thierry Sorg, Barbara Weber:
Estimating developers' cognitive load at a fine-grained level using eye-tracking measures. 111-121 - Daphne Miedema, George Fletcher, Efthimia Aivaloglou:
So many brackets!: an analysis of how SQL learners (mis)manage complexity during query formulation. 122-132 - Marvin Wyrich, Lasse Merz, Daniel Graziotin:
Anchoring code understandability evaluations through task descriptions. 133-140 - Asaf Etgar, Ram Friedman, Shaked Haiman, Dana Perez, Dror G. Feitelson:
The effect of information content and length on name recollection. 141-151
Understanding development practices and challenges 1
- Liming Fu, Peng Liang, Beiqi Zhang:
Understanding code snippets in code reviews: a preliminary study of the OpenStack community. 152-156 - Akhila Sri Manasa Venigalla, Kowndinya Boyalakuntla, Sridhar Chimalakonda:
GitQ- towards using badges as visual cues for GitHub projects. 157-161 - Keisuke Isemoto, Takashi Kobayashi, Shinpei Hayashi:
Revisiting the effect of branch handling strategies on change recommendation. 162-172 - Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Tattiya Sakulniwat, Kenichi Matsumoto, Jesús M. González-Barahona:
pycefr: Python competency level through code analysis. 173-177
Security
- Stefanus A. Haryono, Hong Jin Kang, Abhishek Sharma, Asankhaya Sharma, Andrew E. Santosa, Ming Yi Ang, David Lo:
Automated identification of libraries from vulnerability data: can we do better? 178-189 - Ying Zhang, Ya Xiao, Md Mahir Asef Kabir, Danfeng (Daphne) Yao, Na Meng:
Example-based vulnerability detection and repair in Java code. 190-201
Measuring and improving quality
- Reem S. Alsuhaibani, Christian D. Newman, Michael John Decker, Michael L. Collard, Jonathan I. Maletic:
An approach to automatically assess method names. 202-213 - Anna Vacca, Michele Fredella, Andrea Di Sorbo, Corrado Aaron Visaggio, Gerardo Canfora:
An empirical investigation on the trade-off between smart contract readability and gas consumption. 214-224 - Marc Etter, Farhad Mehta:
CodePanorama: a language agnostic tool for visual code inspection. 225-228 - Xin Zhou, DongGyun Han, David Lo:
Simple or complex?: together for a more accurate just-in-time defect predictor. 229-240
Debugging 1
- Alice Martin, Mathieu Magnaudet, Stéphane Conversy:
Causette: user-controlled rearrangement of causal constructs in a code editor. 241-252 - Derek Robinson, Neil A. Ernst, Enrique Larios Vargas, Margaret-Anne D. Storey:
Error identification strategies for Python Jupyter notebooks. 253-263 - Madeline Janecek, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj:
Performance anomaly detection through sequence alignment of system-level traces. 264-274 - Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
QuLog: data-driven approach for log instruction quality assessment. 275-286 - Casper Boone, Carolin E. Brandt, Andy Zaidman:
Fixing continuous integration tests from within the IDE with contextual information. 287-297 - Jan H. Boockmann, Gerald Lüttgen:
Shape-analysis driven memory graph visualization. 298-308
Search and reuse: Libraries & APIs
- Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo:
On the effectiveness of pretrained models for API learning. 309-320 - James Martin, Jin L. C. Guo:
Deep API learning revisited. 321-330 - Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo:
ARSeek: identifying API resource using code and discussion on stack overflow. 331-342 - Ting Zhang, Divya Prabha Chandrasekaran, Ferdian Thung, David Lo:
Benchmarking library recognition in tweets. 343-353
Program representation 2research
- Xiao Wang, Qiong Wu, Hongyu Zhang, Chen Lyu, Xue Jiang, Zhuoran Zheng, Lei Lyu, Songlin Hu:
HELoC: hierarchical contrastive learning of source code representation. 354-365 - Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang:
Exploring GNN based program embedding technologies for binary related tasks. 366-377 - Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin:
Learning to represent programs with heterogeneous graphs. 378-389 - Kesu Wang, Meng Yan, He Zhang, Haibo Hu:
Unified abstract syntax tree representation learning for cross-language program classification. 390-400 - Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin:
On the transferability of pre-trained language models for low-resource programming languages. 401-412
Code clones
- Chenning Tao, Qi Zhan, Xing Hu, Xin Xia:
C4: contrastive cross-language code clone detection. 413-424 - Bin Hu, Yijian Wu, Xin Peng, Chaofeng Sha, Xiaochen Wang, Baiqiang Fu, Wenyun Zhao:
Predicting change propagation between code clone instances by graph-based deep learning. 425-436 - Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo:
An exploratory study on code attention in BERT. 437-448 - Yang Zhao, Ran Mo, Yao Zhang, Siyuan Zhang, Pu Xiong:
Exploring and understanding cross-service code clones in microservice projects. 449-459 - Wenqing Zhu, Norihiro Yoshida, Toshihiro Kamiya, Eunjong Choi, Hiroaki Takada:
MSCCD: grammar pluggable clone detection based on ANTLR parser generation. 460-470 - Pranshu Chourasia, Ganesh Ramakrishnan, Varsha Apte, Suraj Kumar:
Algorithm identification in programming assignments. 471-481
Debugging 2
- Junji Yu, Yan Lei, Huan Xie, Lingfeng Fu, Chunyan Liu:
Context-based cluster fault localization. 482-493 - Li Sui, Shawn Rasheed, Amjed Tahir, Jens Dietrich:
A study of single statement bugs involving dynamic language features. 494-498 - Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo:
XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. 499-510 - Hiroki Kuramoto, Masanari Kondo, Yutaro Kashiwa, Yuta Ishimoto, Kaze Shindo, Yasutaka Kamei, Naoyasu Ubayashi:
Do visual issue reports help developers fix bugs?: a preliminary study of using videos and images to report issues on GitHub. 511-515 - Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find bugs in static bug finders. 516-527 - Tetsuya Kanda, Kazumasa Shimari, Katsuro Inoue:
didiffff: a viewer for comparing changes in both code and execution traces. 528-532
Search and reuse: Code
- Yi Cheng, Li Kuang:
CSRS: code search with relevance matching and semantic matching. 533-542 - Zhipeng Xue, Yuanliang Zhang, Rulin Xu:
Clone-based code method usage pattern mining. 543-547 - Yuan Huang, Furen Xu, Haojie Zhou, Xiangping Chen, Xiaocong Zhou, Tong Wang:
Towards exploring the code reuse from stack overflow during software development. 548-559 - Farideh Khalili, Ali Mohebbi, Valerio Terragni, Mauro Pezzè, Leonardo Mariani, Abbas Heydarnoori:
The ineffectiveness of domain-specific word embedding models for GUI test reuse. 560-564
Smells, patterns, and refactoring
- Lei Chen, Shinpei Hayashi:
Impact of change granularity in refactoring detection. 565-569 - Pranjay Kumar, Davin Ie, Melina C. Vidoni:
On the developers' attitude towards CRAN checks. 570-574 - Pattara Leelaprute, Bodin Chinthanet, Supatsara Wattanakriengkrai, Raula Gaikovina Kula, Pongchai Jaisri, Takashi Ishio:
Does coding in Pythonic zen peak performance?: preliminary experiments of nine Pythonic idioms at scale. 575-579 - Lucas Francisco da Matta Vegi, Marco Túlio Valente:
Code smells in Elixir: early results from a grey literature review. 580-584
Documentation
- Mingyang Geng, Shangwen Wang, Dezun Dong, Shanzhi Gu, Fang Peng, Weijian Ruan, Xiangke Liao:
Fine-grained code-comment semantic interaction analysis. 585-596 - Marco Raglianti, Csaba Nagy, Roberto Minelli, Michele Lanza:
Using discord conversations as program comprehension aid. 597-601 - Jianyu Wu, Hao He, Wenxin Xiao, Kai Gao, Minghui Zhou:
Demystifying software release note issues on GitHub. 602-613 - Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian:
A first look at duplicate and near-duplicate self-admitted technical debt comments. 614-618 - Hongquan Zhu, Xincheng He, Lei Xu:
HatCUP: hybrid analysis and attention based just-in-time comment updating. 619-630 - Mathieu Nassif, Zara Horlacher, Martin P. Robillard:
Casdoc: unobtrusive explanations in code examples. 631-635
Understanding development practices and challenges 2
- Debasish Chakroborti, Kevin A. Schneider, Chanchal K. Roy:
Backports: change types, challenges and strategies. 636-647 - Christopher Vendome, Eric J. Rapos, Nick DiGennaro:
How do i model my system?: a qualitative study on the challenges that modelers experience. 648-659 - Derek Robinson, Keanelek Enns, Neha Koulecar, Manish Sihag:
Two approaches to survival analysis of open source Python projects. 660-669
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