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2020 – today
- 2024
[j36]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): 89 (2024)- [j35]Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno:
An empirical study of token-based micro commits. Empir. Softw. Eng. 29(6): 148 (2024) - [j34]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) - [c100]Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen:
Large Language Models for Equivalent Mutant Detection: How Far Are We? ISSTA 2024: 1733-1745 - [c99]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: 481-486 - [c98]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: 580-591 - [i17]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 abs/2402.01438 (2024) - [i16]Yukako Iimura, Masanari Kondo, Kazushi Tomoto, Yasutaka Kamei, Naoyasu Ubayashi, Shinobu Saito:
OSS Myths and Facts. CoRR abs/2404.09223 (2024) - [i15]Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno:
An Empirical Study of Token-based Micro Commits. CoRR abs/2405.09165 (2024) - [i14]Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen:
Large Language Models for Equivalent Mutant Detection: How Far Are We? CoRR abs/2408.01760 (2024) - 2023
- [j33]Dong Wang, Tao Xiao, Teyon Son, Raula Gaikovina Kula, Takashi Ishio, Yasutaka Kamei, Kenichi Matsumoto:
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests. Empir. Softw. Eng. 28(5): 123 (2023) - [j32]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): 138 (2023) - [j31]Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei:
PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. Inf. Softw. Technol. 155: 107117 (2023) - [c97]Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei:
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. CAIN 2023: 80-85 - [c96]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: 1619-1624 - [c95]Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh:
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community. ASE 2023: 153-165 - [c94]Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei:
Understanding the Role of Images on Stack Overflow. MSR 2023: 377-388 - [c93]Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi:
Uncertainty-aware Metamorphic Testing for Robust Object Detection Models. QRS Companion 2023: 9-17 - [c92]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: 485-496 - [i13]Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei:
Understanding the Role of Images on Stack Overflow. CoRR abs/2303.15684 (2023) - [i12]Dong Wang, Tao Xiao, Teyon Son, Raula Gaikovina Kula, Takashi Ishio, Yasutaka Kamei, Kenichi Matsumoto:
More Than React: Investigating The Role of Emoji Reaction in GitHub Pull Requests. CoRR abs/2307.07111 (2023) - [i11]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 abs/2307.07117 (2023) - [i10]Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh:
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community. CoRR abs/2308.10078 (2023) - 2022
- [j30]Jiayuan Zhou, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi:
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives. Empir. Softw. Eng. 27(1): 24 (2022) - [j29]Hideaki Azuma, Shinsuke Matsumoto, Yasutaka Kamei, Shinji Kusumoto:
An empirical study on self-admitted technical debt in Dockerfiles. Empir. Softw. Eng. 27(2): 49 (2022) - [j28]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): 136 (2022) - [j27]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: 106855 (2022) - [j26]Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, Ahmed E. Hassan:
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers. IEEE Trans. Software Eng. 48(7): 2245-2261 (2022) - [j25]Christophe Rezk, Yasutaka Kamei, Shane McIntosh:
The Ghost Commit Problem When Identifying Fix-Inducing Changes: An Empirical Study of Apache Projects. IEEE Trans. Software Eng. 48(9): 3297-3309 (2022) - [c91]Kyosuke Yamate, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi:
Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair. COMPSAC 2022: 563-568 - [c90]Tsukasa Nakamura, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi:
Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets. COMPSAC 2022: 569-574 - [c89]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 - [c88]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: 511-515 - [c87]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: 103-104 - [i9]Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
The impact of feature importance methods on the interpretation of defect classifiers. CoRR abs/2202.02389 (2022) - [i8]Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering. CoRR abs/2202.06146 (2022) - [i7]Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
The Impact of Using Regression Models to Build Defect Classifiers. CoRR abs/2202.06157 (2022) - 2021
- [j24]Sophia Quach, Maxime Lamothe, Yasutaka Kamei, Weiyi Shang:
An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empir. Softw. Eng. 26(4): 71 (2021) - [j23]Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, Weiyi Shang:
Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empir. Softw. Eng. 26(5): 97 (2021) - [j22]Olivier Nourry, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi:
Does shortening the release cycle affect refactoring activities: A case study of the JDT Core, Platform SWT, and UI projects. Inf. Softw. Technol. 139: 106623 (2021) - [j21]Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering. IEEE Trans. Software Eng. 47(7): 1414-1430 (2021) - [c86]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 - [c85]Lei Shi, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei:
Towards Better Coverage of Dataset with Software Product Line Engineering. QRS Companion 2021: 1173-1174 - [c84]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 - [c83]Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo:
Leveraging Fault Localisation to Enhance Defect Prediction. SANER 2021: 284-294 - 2020
- [j20]Yasutaka Kamei, Andy Zaidman:
Guest editorial: Mining software repositories 2018. Empir. Softw. Eng. 25(3): 2055-2057 (2020) - [j19]Xiaochen Li, He Jiang, Yasutaka Kamei, Xin Chen:
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding. IEEE Trans. Software Eng. 46(10): 1081-1097 (2020) - [c82]Ryujiro Nishinaka, Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato:
How Fast and Effectively Can Code Change History Enrich Stack Overflow? QRS 2020: 467-478 - [i6]Daito Nakano, Mingyang Yin, Ryosuke Sato, Abram Hindle, Yasutaka Kamei, Naoyasu Ubayashi:
A Quantitative Study of Security Bug Fixes of GitHub Repositories. CoRR abs/2012.08053 (2020)
2010 – 2019
- 2019
- [j18]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): 1925-1963 (2019) - [j17]Giancarlo Sierra, Emad Shihab, Yasutaka Kamei:
A survey of self-admitted technical debt. J. Syst. Softw. 152: 70-82 (2019) - [c81]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c80]Naoyasu Ubayashi, Takuya Watanabe, Yasutaka Kamei, Ryosuke Sato:
Git-based integrated uncertainty manager. ICSE (Companion Volume) 2019: 95-98 - [c79]Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei:
GreenBundle: an empirical study on the energy impact of bundled processing. ICSE 2019: 1107-1118 - [c78]Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi:
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR 2019: 34-45 - [c77]Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato:
When and Why Do Software Developers Face Uncertainty? QRS 2019: 288-299 - [i5]Shane McIntosh, Yasutaka Kamei, Meiyappan Nagappan:
Release Engineering for Mobile Applications (NII Shonan Meeting 152). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j16]Takashi Watanabe, Akito Monden, Zeynep Yücel, Yasutaka Kamei, Shuji Morisaki:
Cross-Validation-Based Association Rule Prioritization Metric for Software Defect Characterization. IEICE Trans. Inf. Syst. 101-D(9): 2269-2278 (2018) - [j15]Yasutaka Kamei, Takahiro Matsumoto, Kazuhiro Yamashita, Naoyasu Ubayashi, Takashi Iwasaki, Shuichi Takayama:
Studying the Cost and Effectiveness of OSS Quality Assessment Models: An Experience Report of Fujitsu QNET. IEICE Trans. Inf. Syst. 101-D(11): 2744-2753 (2018) - [j14]Shane McIntosh, Yasutaka Kamei:
Are Fix-Inducing Changes a Moving Target? A Longitudinal Case Study of Just-In-Time Defect Prediction. IEEE Trans. Software Eng. 44(5): 412-428 (2018) - [c76]Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi, Abram Hindle:
Automatic topic classification of test cases using text mining at an Android smartphone vendor. ESEM 2018: 32:1-32:10 - [c75]Naoyasu Ubayashi, Hokuto Muraoka, Daiki Muramoto, Yasutaka Kamei, Ryosuke Sato:
Exploring uncertainty in GitHub OSS projects: when and how do developers face uncertainty? ICSE (Companion Volume) 2018: 272-273 - [c74]Shane McIntosh, Yasutaka Kamei:
Are fix-inducing changes a moving target?: a longitudinal case study of just-in-time defect prediction. ICSE 2018: 560 - [c73]Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato:
iArch-U/MC: An Uncertainty-Aware Model Checker for Embracing Known Unknowns. ICSOFT 2018: 210-218 - [c72]Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato:
Modular Programming and Reasoning for Living with Uncertainty. ICSOFT (Selected Papers) 2018: 220-244 - [c71]Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato:
Can Abstraction Be Taught? Refactoring-based Abstraction Learning. MODELSWARD 2018: 429-437 - [c70]Ariel Rodríguez, Fumiya Tanaka, Yasutaka Kamei:
Empirical study on the relationship between developer's working habits and efficiency. MSR 2018: 74-77 - [e1]Andy Zaidman, Yasutaka Kamei, Emily Hill:
Proceedings of the 15th International Conference on Mining Software Repositories, MSR 2018, Gothenburg, Sweden, May 28-29, 2018. ACM 2018, ISBN 978-1-4503-5716-6 [contents] - [i4]Xiaochen Li, He Jiang, Yasutaka Kamei, Xin Chen:
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding. CoRR abs/1810.09723 (2018) - [i3]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. CoRR abs/1812.10578 (2018) - 2017
- [j13]Ayse Tosun, Emad Shihab, Yasutaka Kamei:
Erratum to: Studying high impact fix-inducing changes. Empir. Softw. Eng. 22(2): 848 (2017) - [j12]Romain Robbes, Yasutaka Kamei, Martin Pinzger:
Guest Editorial: Mining software repositories. Empir. Softw. Eng. 22(3): 1143-1145 (2017) - [j11]Pawin Suthipornopas, Pattara Leelaprute, Akito Monden, Hidetake Uwano, Yasutaka Kamei, Naoyasu Ubayashi, Kenji Araki, Kingo Yamada, Ken-ichi Matsumoto:
Industry Application of Software Development Task Measurement System: TaskPit. IEICE Trans. Inf. Syst. 100-D(3): 462-472 (2017) - [c69]Keisuke Watanabe, Naoyasu Ubayashi, Takuya Fukamachi, Shunya Nakamura, Hokuto Muraoka, Yasutaka Kamei:
iArch-U: Interface-Centric Integrated Uncertainty-Aware Development Environment. MiSE@ICSE 2017: 40-46 - [c68]Keisuke Watanabe, Takuya Fukamachi, Naoyasu Ubayashi, Yasutaka Kamei:
Automated A/B Testing with Declarative Variability Expressions. ICST Workshops 2017: 387-388 - [c67]Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
The impact of using regression models to build defect classifiers. MSR 2017: 135-145 - 2016
- [j10]Ayse Tosun Misirli, Emad Shihab, Yasutaka Kamei:
Studying high impact fix-inducing changes. Empir. Softw. Eng. 21(2): 605-641 (2016) - [j9]Yasutaka Kamei, Takafumi Fukushima, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi, Ahmed E. Hassan:
Studying just-in-time defect prediction using cross-project models. Empir. Softw. Eng. 21(5): 2072-2106 (2016) - [j8]Shane McIntosh, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan:
An empirical study of the impact of modern code review practices on software quality. Empir. Softw. Eng. 21(5): 2146-2189 (2016) - [j7]Kazuhiro Yamashita, Yasutaka Kamei, Shane McIntosh, Ahmed E. Hassan, Naoyasu Ubayashi:
Magnet or Sticky? Measuring Project Characteristics from the Perspective of Developer Attraction and Retention. J. Inf. Process. 24(2): 339-348 (2016) - [j6]Felienne Hermans, Janet Siegmund, Thomas Fritz, Gabriele Bavota, Meiyappan Nagappan, Abram Hindle, Yasutaka Kamei, Ali Mesbah, Bram Adams:
Leaders of Tomorrow on the Future of Software Engineering: A Roundtable. IEEE Softw. 33(2): 99-104 (2016) - [c66]Takashi Watanabe, Akito Monden, Yasutaka Kamei, Shuji Morisaki:
Identifying recurring association rules in software defect prediction. ICIS 2016: 1-6 - [c65]Yasutaka Kamei, Everton da S. Maldonado, Emad Shihab, Naoyasu Ubayashi:
Using Analytics to Quantify Interest of Self-Admitted Technical Debt. QuASoQ/TDA@APSEC 2016: 68-71 - [c64]Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden, Yasutaka Kamei, Naoyasu Ubayashi:
Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models. COMPSAC 2016: 154-163 - [c63]Xin Xia, Emad Shihab, Yasutaka Kamei, David Lo, Xinyu Wang:
Predicting Crashing Releases of Mobile Applications. ESEM 2016: 29:1-29:10 - [c62]Keisuke Miura, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi:
The Impact of Task Granularity on Co-evolution Analyses. ESEM 2016: 47:1-47:10 - [c61]Junji Shimagaki, Yasutaka Kamei, Shane McIntosh, Ahmed E. Hassan, Naoyasu Ubayashi:
A study of the quality-impacting practices of modern code review at Sony mobile. ICSE (Companion Volume) 2016: 212-221 - [c60]Junji Shimagaki, Yasutaka Kamei, Shane McIntosh, David Pursehouse, Naoyasu Ubayashi:
Why are Commits Being Reverted?: A Comparative Study of Industrial and Open Source Projects. ICSME 2016: 301-311 - [c59]Kazuhiro Yamashita, Changyun Huang, Meiyappan Nagappan, Yasutaka Kamei, Audris Mockus, Ahmed E. Hassan, Naoyasu Ubayashi:
Thresholds for Size and Complexity Metrics: A Case Study from the Perspective of Defect Density. QRS 2016: 191-201 - [c58]Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi:
Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models. QRS 2016: 214-221 - [c57]Bodin Chinthanet, Passakorn Phannachitta, Yasutaka Kamei, Pattara Leelaprute, Arnon Rungsawang, Naoyasu Ubayashi, Ken-ichi Matsumoto:
A review and comparison of methods for determining the best analogies in analogy-based software effort estimation. SAC 2016: 1554-1557 - [c56]Masateru Tsunoda, Yasutaka Kamei, Atsushi Sawada:
Assessing the Differences of Clone Detection Methods Used in the Fault-Prone Module Prediction. IWSC 2016: 15-16 - [c55]Yasutaka Kamei, Emad Shihab:
Defect Prediction: Accomplishments and Future Challenges. FOSE@SANER 2016: 33-45 - 2015
- [c54]Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei:
Modularity for Uncertainty. MiSE@ICSE 2015: 7-12 - [c53]Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei:
Poster: Conquering Uncertainty in Java Programming. ICSE (2) 2015: 823-824 - [c52]Kazuhiro Yamashita, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi:
Revisiting the applicability of the pareto principle to core development teams in open source software projects. IWPSE 2015: 46-55 - [c51]Changyun Huang, Ataru Osaka, Yasutaka Kamei, Naoyasu Ubayashi:
Automated DSL Construction Based on Software Product Lines. MODELSWARD 2015: 247-254 - [c50]Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, Ahmed E. Hassan:
An empirical study of goto in C code from GitHub repositories. ESEC/SIGSOFT FSE 2015: 404-414 - [i2]Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, Ahmed E. Hassan:
An empirical study of goto in C code. PeerJ Prepr. 3: e826 (2015) - [i1]Meiyappan Nagappan, Ahmed E. Hassan, Yasutaka Kamei:
Mobile App Store Analytics (NII Shonan Meeting 2015-15). NII Shonan Meet. Rep. 2015 (2015) - 2014
- [c49]Di Ai, Naoyasu Ubayashi, Peiyuan Li, Daisuke Yamamoto, Yu Ning Li, Shintaro Hosoai, Yasutaka Kamei:
iArch: an IDE for supporting fluid abstraction. MODULARITY (Companion) 2014: 13-16 - [c48]Takao Nakagawa, Yasutaka Kamei, Hidetake Uwano, Akito Monden, Ken-ichi Matsumoto, Daniel M. Germán:
Quantifying programmers' mental workload during program comprehension based on cerebral blood flow measurement: a controlled experiment. ICSE Companion 2014: 448-451 - [c47]Naoyasu Ubayashi, Di Ai, Peiyuan Li, Yu Ning Li, Shintaro Hosoai, Yasutaka Kamei:
Abstraction-aware verifying compiler for yet another MDD. ASE 2014: 557-562 - [c46]Di Ai, Naoyasu Ubayashi, Peiyuan Li, Shintaro Hosoai, Yasutaka Kamei:
iArch - An IDE for Supporting Abstraction-aware Design Traceability. MODELSWARD 2014: 442-447 - [c45]Takafumi Fukushima, Yasutaka Kamei, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi:
An empirical study of just-in-time defect prediction using cross-project models. MSR 2014: 172-181 - [c44]Shane McIntosh, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan:
The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects. MSR 2014: 192-201 - [c43]Kazuhiro Yamashita, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi:
Magnet or sticky? an OSS project-by-project typology. MSR 2014: 344-347 - [c42]Yasutaka Kamei, Masao Ohira, Ahmed E. Hassan, Naoyasu Ubayashi, Ken-ichi Matsumoto:
Early Identification of Future Committers in Open Source Software Projects. QSIC 2014: 47-56 - [c41]Naoyasu Ubayashi, Di Ai, Peiyuan Li, Yu Ning Li, Shintaro Hosoai, Yasutaka Kamei:
Uncertainty-aware architectural interface. AOAsia@SIGSOFT FSE 2014: 4-6 - [c40]Peiyuan Li, Naoyasu Ubayashi, Di Ai, Yu Ning Li, Shintaro Hosoai, Yasutaka Kamei:
Sketch-based gradual model-driven development. InnoSWDev@SIGSOFT FSE 2014: 100-105 - 2013
- [j5]Emad Shihab, Akinori Ihara, Yasutaka Kamei, Walid M. Ibrahim, Masao Ohira, Bram Adams, Ahmed E. Hassan, Ken-ichi Matsumoto:
Studying re-opened bugs in open source software. Empir. Softw. Eng. 18(5): 1005-1042 (2013) - [j4]Emad Shihab, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan:
Is lines of code a good measure of effort in effort-aware models? Inf. Softw. Technol. 55(11): 1981-1993 (2013) - [j3]Yasutaka Kamei, Emad Shihab, Bram Adams, Ahmed E. Hassan, Audris Mockus, Anand Sinha, Naoyasu Ubayashi:
A Large-Scale Empirical Study of Just-in-Time Quality Assurance. IEEE Trans. Software Eng. 39(6): 757-773 (2013) - [c39]Naoyasu Ubayashi, Di Ai, Yasutaka Kamei:
Archface4COP: architectural interface for context-oriented programming. COP@ECOOP 2013: 1:1-1:6 - [c38]