Masanari Kondo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Privacy Preserving

Product Line Engineering

Top Venues

Empir. Softw. Eng.

Publications

Hiroki Kuramoto, Dong Wang, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi
Understanding the characteristics and the role of visual issue reports. Empir. Softw. Eng. 29 (4) (2024)
Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi
TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. SANER (2024)
Yukako Iimura, Masanari Kondo, Kazushi Tomoto, Yasutaka Kamei, Naoyasu Ubayashi, Shinobu Saito
OSS Myths and Facts. CoRR (2024)
Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. MSR (2024)
Hiroya Watanabe, Masanari Kondo, Eunjong Choi, Osamu Mizuno
Benefits and Pitfalls of Token-Level SZZ: An Empirical Study on OSS Projects. SANER (2024)
Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno
An Empirical Study of Token-based Micro Commits. CoRR (2024)
Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. CoRR (2024)
Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. CAIN (2023)
Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi
When Conversations Turn Into Work: A Taxonomy of Converted Discussions and Issues in GitHub. CoRR (2023)
Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
Uncertainty-aware Metamorphic Testing for Robust Object Detection Models. QRS Companion (2023)
Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning. SANER (2023)
Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. Inf. Softw. Technol. 155 (2023)
Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi
When conversations turn into work: a taxonomy of converted discussions and issues in GitHub. Empir. Softw. Eng. 28 (6) (2023)
Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi
Towards Better Online Communication for Future Software Development in Industry. COMPSAC (2023)
Khine Yin Mon, Masanari Kondo, Eunjong Choi, Osamu Mizuno
Commit-Based Class-Level Defect Prediction for Python Projects. IEICE Trans. Inf. Syst. 106 (2) (2023)
Yutaro Kashiwa, Ryoma Nishikawa, Yasutaka Kamei, Masanari Kondo, Emad Shihab, Ryosuke Sato, Naoyasu Ubayashi
An empirical study on self-admitted technical debt in modern code review. Inf. Softw. Technol. 146 (2022)
Kyosuke Yamate, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi
Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair. COMPSAC (2022)
Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Osamu Mizuno
An empirical study of issue-link algorithms: which issue-link algorithms should we use? Empir. Softw. Eng. 27 (6) (2022)
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. ICPC (2022)
Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi
Challenges and Future Research Direction for Microtask Programming in Industry. MSR (2022)
Tsukasa Nakamura, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets. COMPSAC (2022)
Lei Shi, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
Towards Better Coverage of Dataset with Software Product Line Engineering. QRS Companion (2021)
Kai Yamamoto, Masanari Kondo, Kinari Nishiura, Osamu Mizuno
Which Metrics Should Researchers Use to Collect Repositories: An Empirical Study. QRS (2020)
Shoma Kokuryo, Masanari Kondo, Osamu Mizuno
An Empirical Study of Utilization of Imperative Modules in Ansible. QRS (2020)
Masanari Kondo, Gustavo Ansaldi Oliva, Zhen Ming (Jack) Jiang, Ahmed E. Hassan, Osamu Mizuno
Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform. Empir. Softw. Eng. 25 (6) (2020)
Masanari Kondo, Daniel M. Germán, Osamu Mizuno, Eun-Hye Choi
The impact of context metrics on just-in-time defect prediction. Empir. Softw. Eng. 25 (1) (2020)
Masanari Kondo, Cor-Paul Bezemer, Yasutaka Kamei, Ahmed E. Hassan, Osamu Mizuno
The impact of feature reduction techniques on defect prediction models. Empir. Softw. Eng. 24 (4) (2019)
Juntong Hong, Osamu Mizuno, Masanari Kondo
An Empirical Study of Source Code Detection Using Image Classification. IWESEP (2019)
Masanari Kondo, Osamu Mizuno
Analysis on Causal-Effect Relationship in Effort Metrics Using Bayesian LiNGAM. ISSRE Workshops (2016)