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ORCIDBin Lin 0008
Person information
- affiliation: Hangzhou Dianzi University, China
- affiliation (former): USI, Universita della Svizzera Italiana, Lugano, Switzerland
- affiliation (former): Radboud University, The Netherlands
- affiliation (former): Eindhoven University of Technology, The Netherlands
Other persons with the same name
- Bin Lin — disambiguation page
- Bin Lin 0001
![[0000-0002-6125-9839]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6125-9839")
— Dalian Maritime University, China (and 1 more) - Bin Lin 0002 — Northwestern University, Evanston, IL, USA
- Bin Lin 0003 — Tongji University, Shanghai, China
- Bin Lin 0004 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Bin Lin 0005 — East China Normal University, Shanghai, China
- Bin Lin 0006 — University of Canterbury, Christchurch, NZ
- Bin Lin 0007 — University of Macau, China
- Bin Lin 0009 — University of California, Santa Barbara, USA
- Bin Lin 0010 — University of Science and Technology of China, Hefai, Anhui, China
- Bin Lin 0011 — National University of Defense Technology, Changsha, China
- Bin Lin 0012 — Tianjin University, Department of Mechanical Engineering, China
- Bin Lin 0013 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Bin Lin 0014 — Peking University, Shenzhen Graduate School, Rabbitpre Intelligence, China
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2020 – today
- 2025
[c27]Hanmo You, Zan Wang, Bin Lin, Junjie Chen:
Navigating the Testing of Evolving Deep Learning Systems: An Exploratory Interview Study. ICSE 2025: 2726-2738- [c26]Miki Yonekura, Yutaro Kashiwa, Bin Lin, Kenji Fujiwara, Hajimu Iida:
Leveraging Context Information for Self-Admitted Technical Debt Detection. ICPC 2025: 1-12 - [c25]Jiangnan Huang, Bin Lin:
Revisiting Security Practices for Github Actions Workflows. ICPC 2025: 73-77 - [c24]Robin van Straeten, Bin Lin:
Mining Code Change Patterns in Ada Projects. ICPC 2025: 387-397 - [c23]Nabhan Suwanachote, Yagut Shakizada, Yutaro Kashiwa, Bin Lin, Hajimu Iida:
On the Evolution of Unused Dependencies in Java Project Releases: An Empirical Study. MSR 2025: 324-328 - [i4]Ibuki Nakamura, Yutaro Kashiwa, Bin Lin, Hajimu Iida:
Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study. CoRR abs/2510.22249 (2025) - 2024
- [j4]Olivier Nourry, Yutaro Kashiwa, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei:
The Human Side of Fuzzing: Challenges Faced by Developers during Fuzzing Activities. ACM Trans. Softw. Eng. Methodol. 33(1): 14:1-14:26 (2024) - [c22]Miku Watanabe, Yutaro Kashiwa, Bin Lin, Toshiki Hirao, Ken-ichi Yamaguchi, Hajimu Iida:
On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT? EASE 2024: 375-380 - [i3]Chen Yang, Junjie Chen, Bin Lin, Jianyi Zhou, Ziqi Wang:
Enhancing LLM-based Test Generation for Hard-to-Cover Branches via Program Analysis. CoRR abs/2404.04966 (2024) - 2023
- [c21]Marco Raglianti, Csaba Nagy, Roberto Minelli, Bin Lin, Michele Lanza:
On the Rise of Modern Software Documentation (Pearl/Brave New Idea). ECOOP 2023: 43:1-43:24 - [c20]Shun Fujita, Yutaro Kashiwa, Bin Lin, Hajimu Iida:
An Empirical Study on the Use of Snapshot Testing. ICSME 2023: 335-340 - [c19]Jiangnan Huang, Bin Lin:
CIGAR: Contrastive Learning for GitHub Action Recommendation. SCAM 2023: 61-71 - [i2]Bin Lin, Gregorio Robles:
Investigating the Impact of Vocabulary Difficulty and Code Naturalness on Program Comprehension. CoRR abs/2308.13429 (2023) - 2022
- [j3]Jevgenija Pantiuchina, Bin Lin, Fiorella Zampetti, Massimiliano Di Penta, Michele Lanza, Gabriele Bavota:
Why Do Developers Reject Refactorings in Open-Source Projects? ACM Trans. Softw. Eng. Methodol. 31(2): 23:1-23:23 (2022) - [j2]Luca Traini, Daniele Di Pompeo, Michele Tucci, Bin Lin, Simone Scalabrino, Gabriele Bavota, Michele Lanza, Rocco Oliveto, Vittorio Cortellessa:
How Software Refactoring Impacts Execution Time. ACM Trans. Softw. Eng. Methodol. 31(2): 25:1-25:23 (2022) - [j1]Bin Lin, Nathan Cassee, Alexander Serebrenik, Gabriele Bavota, Nicole Novielli, Michele Lanza:
Opinion Mining for Software Development: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. 31(3): 38:1-38:41 (2022) - [c18]Olivier Nourry, Yutaro Kashiwa, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei:
AIP: Scalable and Reproducible Execution Traces in Energy Studies on Mobile Devices. ICSME 2022: 449-453 - 2021
- [c17]Yutaro Kashiwa, Kazuki Shimizu, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei, Naoyasu Ubayashi:
Does Refactoring Break Tests and to What Extent? ICSME 2021: 171-182 - [c16]Hassan Atwi, Bin Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza:
PYREF: Refactoring Detection in Python Projects. SCAM 2021: 136-141 - 2020
- [c15]Maria Caulo, Bin Lin, Gabriele Bavota, Giuseppe Scanniello, Michele Lanza:
Knowledge Transfer in Modern Code Review. ICPC 2020: 230-240 - [c14]Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto:
Automated Identification of On-hold Self-admitted Technical Debt. SCAM 2020: 54-64 - [i1]Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto:
Automated Identification of On-hold Self-admitted Technical Debt. CoRR abs/2009.13113 (2020)
2010 – 2019
- 2019
- [c13]Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza:
Pattern-based mining of opinions in Q&A websites. ICSE 2019: 548-559 - [c12]Bin Lin, Csaba Nagy, Gabriele Bavota, Andrian Marcus, Michele Lanza:
On the Quality of Identifiers in Test Code. SCAM 2019: 204-215 - [c11]Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza:
On the Impact of Refactoring Operations on Code Naturalness. SANER 2019: 594-598 - 2018
- [c10]Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza, Rocco Oliveto:
Sentiment analysis for software engineering: how far can we go? ICSE 2018: 94-104 - [c9]Bin Lin:
Crowdsourced software development and maintenance. ICSE (Companion Volume) 2018: 492-495 - [c8]Bin Lin, Fiorella Zampetti, Rocco Oliveto, Massimiliano Di Penta, Michele Lanza, Gabriele Bavota:
Two Datasets for Sentiment Analysis in Software Engineering. ICSME 2018: 712 - [c7]Luigi Frunzio, Bin Lin, Michele Lanza, Gabriele Bavota:
RETICULA: Real-time code quality assessment. SANER 2018: 542-546 - 2017
- [c6]Bin Lin, Gregorio Robles, Alexander Serebrenik:
Developer Turnover in Global, Industrial Open Source Projects: Insights from Applying Survival Analysis. ICGSE 2017: 66-75 - [c5]Perry van Wesel, Bin Lin, Gregorio Robles, Alexander Serebrenik:
Reviewing Career Paths of the OpenStack Developers. ICSME 2017: 544-548 - [c4]Bin Lin, Luca Ponzanelli, Andrea Mocci, Gabriele Bavota, Michele Lanza:
On the uniqueness of code redundancies. ICPC 2017: 121-131 - [c3]Bin Lin, Simone Scalabrino, Andrea Mocci, Rocco Oliveto, Gabriele Bavota, Michele Lanza:
Investigating the Use of Code Analysis and NLP to Promote a Consistent Usage of Identifiers. SCAM 2017: 81-90 - 2016
- [c2]Bin Lin, Alexey Zagalsky, Margaret-Anne D. Storey, Alexander Serebrenik:
Why Developers Are Slacking Off: Understanding How Software Teams Use Slack. CSCW Companion 2016: 333-336 - [c1]Bin Lin, Alexander Serebrenik:
Recognizing gender of stack overflow users. MSR 2016: 425-429
Coauthor Index
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