Yutaro Kashiwa
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Citado por
A dataset of high impact bugs: Manually-classified issue reports
M Ohira, Y Kashiwa, Y Yamatani, H Yoshiyuki, Y Maeda, N Limsettho, ...
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 518-521, 2015
PYREF: Refactoring Detection in Python Projects
H Atwi, B Lin, N Tsantalis, Y Kashiwa, Y Kamei, N Ubayashi, G Bavota, ...
21st International Working Conference on Source Code Analysis and …, 2021
A Release-Aware Bug Triaging Method Considering Developers' Bug-Fixing Loads
Y Kashiwa, M Ohira
IEICE TRANSACTIONS on Information and Systems 103 (2), 348-362, 2020
A pilot study of diversity in high impact bugs
Y Kashiwa, H Yoshiyuki, Y Kukita, M Ohira
2014 IEEE International Conference on Software Maintenance and Evolution …, 2014
An empirical study on self-admitted technical debt in modern code review
Y Kashiwa, R Nishikawa, Y Kamei, M Kondo, E Shihab, R Sato, ...
Information and Software Technology 146, 106855, 2022
An Empirical Study of Issue-Link Algorithms: Which Issue-Link Algorithms Should We Use?
M Kondo, Y Kashiwa, Y Kamei, O Mizuno
Empirical Software Engineering, 2022
Does Refactoring Break Tests and to What Extent?
Y Kashiwa, K Shimizu, B Lin, G Bavota, M Lanza, Y Kamei, N Ubayashi
37th International Conference on Software Maintenance and Evolution, 2021
Do Visual Issue Reports Help Developers Fix Bugs?
H Kuramoto, M Kondo, Y Kashiwa, Y Ishimoto, K Shindo, Y Kamei, ...
The 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022), 2022
RAPTOR: Release-aware and prioritized bug-fixing task assignment optimization
Y Kashiwa
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
What Are the Perception Gaps Between FLOSS Developers and SE Researchers? A Case of Bug Finding Research
Y Kashiwa, A Ihara, M Ohira
Open Source Systems: 15th IFIP WG 2.13 International Conference, OSS 2019 …, 2019
The human side of fuzzing: Challenges faced by developers during fuzzing activities
O Nourry, Y Kashiwa, B Lin, G Bavota, M Lanza, Y Kamei
ACM Transactions on Software Engineering and Methodology 33 (1), 1-26, 2023
An empirical investigation on the performance of domain adaptation for t5 code completion
D Fukumoto, Y Kashiwa, T Hirao, K Fujiwara, H Iida
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
Hierarchical clustering of OSS license statements toward automatic generation of license rules
Y Higashi, M Ohira, Y Kashiwa, Y Manabe
Journal of information processing 27, 42-50, 2019
Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding
S Pornmaneerattanatri, K Takahashi, Y Kashiwa, K Ichikawa, H Iida
International Conference on Parallel and Distributed Computing: Applications …, 2023
A Pilot Study of Testing Infrastructure as Code for Cloud Systems
N Suwanachote, S Pornmaneerattanatri, Y Kashiwa, K Ichikawa, ...
2023 30th Asia-Pacific Software Engineering Conference (APSEC), 584-588, 2023
Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair
K Yamate, M Kondo, Y Kashiwa, Y Kamei, N Ubayashi
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
Does shortening the release cycle affect refactoring activities: A case study of the JDT Core, Platform SWT, and UI projects
O Nourry, Y Kashiwa, Y Kamei, N Ubayashi
Information and Software Technology 139, 106623, 2021
Understanding the characteristics and the role of visual issue reports
H Kuramoto, D Wang, M Kondo, Y Kashiwa, Y Kamei, N Ubayashi
Empirical Software Engineering 29 (4), 89, 2024
On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT?
M Watanabe, Y Kashiwa, B Lin, T Hirao, KI Yamaguchi, H Iida
Proceedings of the 28th International Conference on Evaluation and …, 2024
TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction
I Morita, Y Kashiwa, M Kondo, J Sohn, S McIntosh, Y Kamei, N Ubayashi
The 31th International Conference on Software Analysis, Evolution, and …, 2024
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