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Hirohisa Aman
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2020 – today
- 2024
- [c60]Hirohisa Aman
, Sousuke Amasaki
A Quantitative Investigation of Trends in Confusing Variable Pairs Through Commits: Do Confusing Variable Pairs Survive? EASE 2024: 90-99 - [c59]Shozo Saeki, Minoru Kawahara, Hirohisa Aman:
Multi-attribute and Multi-label Deep Metric Learning via Pair-based and Proxy-based Losses. ICICT 2024: 57-63 - [c58]Kaoru Yokogawa, Masashi Hiroishi, Sousuke Arnasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Comparative Study on COSMIC FP Approximation with Deep Learning and Conventional Machine Learning. SERA 2024: 346-351 - [c57]Pattara Leelaprute, Yuki Kase, Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Multi - Aspect Evaluation of DL-based SQLi Attack Detection Models. SERA 2024: 352-355 - [c56]Yahiro Mori, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
An Application of Program Slicing and CodeBERT to Distill Variables With Inappropriate Names. SERA 2024: 356-361 - 2023
- [j17]Hideyoshi Miura
Game-theoretic approach to epidemic modeling of countermeasures against future malware evolution. Comput. Commun. 206: 160-171 (2023) - [j16]Shozo Saeki, Minoru Kawahara, Hirohisa Aman:
Multi proxy anchor family loss for several types of gradients. Comput. Vis. Image Underst. 229: 103654 (2023) - [j15]Hirohisa Aman
An automated detection of confusing variable pairs with highly similar compound names in Java and Python programs. Empir. Softw. Eng. 28(5): 108 (2023) - [j14]Kosuke Ohara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
A Comparative Study of Data Collection Periods for Just-In-Time Defect Prediction Using the Automatic Machine Learning Method. IEICE Trans. Inf. Syst. 106(2): 166-169 (2023) - [j13]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman:
An Evaluation of Word Embeddings on Vulnerability Prediction with Software Metrics. WiPiEC Journal 9(2) (2023) - [c55]Yuki Fushihara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
A Trend Analysis of Test Smells in Python Test Code Over Commit History. SEAA 2023: 310-314 - [c54]Ryugo Tanaka, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto:
Applying Symbolic Model Checking to Node-graph Style Game Scripts with Time Constraints. GCCE 2023: 881-884 - [c53]Shinnosuke Irie
A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest. WSSE 2023: 33-38 - 2022
- [c52]Tenma Kitai, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
Have Java Production Methods Co-Evolved With Test Methods Properly?: A Fine-Grained Repository-Based Co-Evolution Analysis. SEAA 2022: 120-124 - [c51]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
An Evaluation of Effort-Aware Fine-Grained Just-in-Time Defect Prediction Methods. SEAA 2022: 209-216 - [c50]Kazuma Toyota, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto:
A Visual Modeling Environment for the nuXmv Model Checker Intended for Novice Users. IIAI-AAI 2022: 684-685 - [c49]Kazuki Wayama
Verifying Game Logic in Unreal Engine 5 Blueprint Visual Scripting System Using Model Checking. ASE 2022: 213:1-213:8 - [c48]Sousuke Amasaki
An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction. PROFES 2022: 433-448 - 2021
- [c47]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Preliminary Evaluation of CPDP Approaches on Just-in-Time Software Defect Prediction. SEAA 2021: 279-286 - [c46]Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
An Investigation of Compound Variable Names Toward Automated Detection of Confusing Variable Pairs. ASE Workshops 2021: 133-137 - [c45]Sousuke Amasaki
Searching for Bellwether Developers for Cross-Personalized Defect Prediction. PROFES 2021: 183-198 - [c44]Hirohisa Aman
A Large-Scale Investigation of Local Variable Names in Java Programs: Is Longer Name Better for Broader Scope Variable? QUATIC 2021: 489-500 - [c43]Shozo Saeki, Minoru Kawahara, Hirohisa Aman:
Significance of Emphasized Features for Good Representation on Deep Metric Learning. SERA 2021: 27-32 - [i1]Shozo Saeki, Minoru Kawahara, Hirohisa Aman:
Multi Proxy Anchor Loss and Effectiveness of Deep Metric Learning Performance Metrics. CoRR abs/2110.03997 (2021) - 2020
- [j12]Hirohisa Aman
Empirical study of abnormality in local variables and its application to fault-prone Java method analysis. J. Softw. Evol. Process. 32(4) (2020) - [c42]Masanao Asato, Hirohisa Aman
A Mahalanobis Distance-Based Integration of Suspicious Scores For Bug Localization. APSEC 2020: 475-479 - [c41]Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
A Comparative Study of Vectorization-Based Static Test Case Prioritization Methods. SEAA 2020: 80-88 - [c40]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
On the Effects of File-level Information on Method-level Bug Localization. SEAA 2020: 314-321 - [c39]Hayato Naito, Tomoyuki Yokogawa, Nao Igawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto:
A Node-Style Visual Programming Environment for the nuXmv Model Checker. GCCE 2020: 71-75 - [c38]Sousuke Amasaki
An exploratory study on applicability of cross project defect prediction approaches to cross-company effort estimation. PROMISE 2020: 71-80
2010 – 2019
- 2019
- [c37]Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
Empirical Study of Fault Introduction Focusing on the Similarity among Local Variable Names. QuASoQ@APSEC 2019: 3-11 - [c36]Hirohisa Aman
A Survival Analysis-Based Prioritization of Code Checker Warning: A Case Study Using PMD. BCD (selected papers) 2019: 69-83 - [c35]Shozo Saeki, Minoru Kawahara, Hirohisa Aman:
Scalable Laplacian Regularized Least Squares Classification on Anchor Graph. BCD 2019: 71-76 - [c34]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
Towards Better Effort Estimation with Cross-Project Defect Prediction Approaches. EASE 2019: 357-360 - [c33]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Comparative Study of Vectorization Methods on BugLocator. SEAA 2019: 236-243 - [c32]Akira Matsumoto, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto:
Consistency Verification of UML Sequence Diagrams Modeling Wireless Sensor Networks. IIAI-AAI 2019: 458-461 - [c31]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation. PROMISE 2019: 76-79 - 2018
- [j11]Takanori Kudo, Tomotaka Kimura
Stochastic modeling of self-evolving botnets with vulnerability discovery. Comput. Commun. 124: 101-110 (2018) - [j10]Akito Sunouchi, Hirohisa Aman
A Quantitative Analysis on Relationship between an Early-Closed Bug and Its Amount of Clues: A Case Study of Apache Ant. IEICE Trans. Inf. Syst. 101-D(10): 2523-2525 (2018) - [j9]Kazuki Yamauchi, Hirohisa Aman
An Entropy-Based Metric of Developer Contribution in Open Source Development and Its Application toF ault-ProneP rogram Analysis. Int. J. Networked Distributed Comput. 6(3): 118-132 (2018) - [c30]Hirohisa Aman
A Doc2Vec-Based Assessment of Comments and Its Application to Change-Prone Method Analysis. APSEC 2018: 643-647 - [c29]Kazuki Yamauchi, Hirohisa Aman
Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development. BCD 2018: 7-14 - [c28]Aji Ery Burhandenny
Empirical Analysis of Coding Standard Violation Focusing on Its Coverage and Importance. COMPSAC (1) 2018: 837-838 - [c27]Keiichiro Tashima, Hirohisa Aman
Fault-Prone Java Method Analysis Focusing on Pair of Local Variables with Confusing Names. SEAA 2018: 154-158 - [c26]Hirohisa Aman, Takashi Nakano, Hideto Ogasawara, Minoru Kawahara:
A Topic Model and Test History-Based Test Case Recommendation Method for Regression Testing. ICST Workshops 2018: 392-397 - 2017
- [j8]Aji Ery Burhandenny
Change-Prone Java Method Prediction by Focusing on Individual Differences in Comment Density. IEICE Trans. Inf. Syst. 100-D(5): 1128-1131 (2017) - [j7]Aji Ery Burhandenny
An Evaluation of Coding Violation Focusing on Change History and Authorship of Source File. Int. J. Networked Distributed Comput. 5(4): 211-220 (2017) - [c25]Aji Ery Burhandenny, Hirohisa Aman
Investigation of Coding Violations Focusing on Authorships of Source Files. ACIT/CSII/BCD 2017: 248-253 - [c24]Yuto Miyake, Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
An Empirical Study on Relationships between Comments and Design Properties. ACIT/CSII/BCD 2017: 254-259 - [c23]Sho Suzuki, Hirohisa Aman
Empirical Study of Fault-Prone Method's Name and Implementation: Analysis on Three Prefixes-Get, Set and Be. ACIT/CSII/BCD 2017: 260-265 - [c22]Hirohisa Aman
Empirical Analysis of Words in Comments Written for Java Methods. SEAA 2017: 375-379 - [c21]Sho Suzuki, Hirohisa Aman
An Application of the PageRank Algorithm to Commit Evaluation on Git Repository. SEAA 2017: 380-383 - [c20]Hirohisa Aman
A Test Case Recommendation Method Based on Morphological Analysis, Clustering and the Mahalanobis-Taguchi Method. ICST Workshops 2017: 29-35 - [c19]Hirohisa Aman
Empirical Study of Abnormalities in Local Variables of Change-Prone Java Methods. ISSRE Workshops 2017: 214-221 - [c18]Hirohisa Aman
A Health Index of Open Source Projects Focusing on Pareto Distribution of Developer's Contribution. IWESEP 2017: 29-34 - [c17]Hirohisa Aman
A Survival Analysis of Source Files Modified by New Developers. PROFES 2017: 80-88 - 2016
- [c16]Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
Local Variables with Compound Names and Comments as Signs of Fault-Prone Java Methods. QuASoQ/TDA@APSEC 2016: 4-11 - [c15]Aji Ery Burhandenny
Examination of Coding Violations Focusing on Their Change Patterns over Releases. APSEC 2016: 121-128 - [c14]Takanori Kudo, Tomotaka Kimura
Behavior analysis of self-evolving botnets. CITS 2016: 1-5 - [c13]Hirohisa Aman, Yuta Tanaka, Takashi Nakano, Hideto Ogasawara, Minoru Kawahara:
Application of Mahalanobis-Taguchi Method and 0-1 Programming Method to Cost-Effective Regression Testing. SEAA 2016: 240-244 - 2015
- [j6]Hirohisa Aman
Lines of Comments as a Noteworthy Metric for Analyzing Fault-Proneness in Methods. IEICE Trans. Inf. Syst. 98-D(12): 2218-2228 (2015) - [c12]Hirohisa Aman, Sousuke Amasaki, Takashi Sasaki, Minoru Kawahara:
Empirical Analysis of Change-Proneness in Methods Having Local Variables with Long Names and Comments. ESEM 2015: 50-53 - 2014
- [c11]Hirohisa Aman, Sousuke Amasaki, Takashi Sasaki, Minoru Kawahara:
Empirical Analysis of Fault-Proneness in Methods by Focusing on their Comment Lines. APSEC (2) 2014: 51-56 - [c10]Hirohisa Aman, Takashi Sasaki, Sousuke Amasaki, Minoru Kawahara:
Empirical analysis of comments and fault-proneness in methods: can comments point to faulty methods? ESEM 2014: 63:1 - [c9]Hirohisa Aman, Akiko Yamashita, Takashi Sasaki, Minoru Kawahara:
Multistage Growth Model for Code Change Events in Open Source Software Development: An Example Using Development of Nagios. EUROMICRO-SEAA 2014: 207-212 - 2013
- [c8]Hirohisa Aman:
0-1 Programming Model-Based Method for Planning Code Review Using Bug Fix History. APSEC (2) 2013: 37-42 - [c7]Hirohisa Aman, Manami Sasaki, Kei Kureishi, Hideto Ogasawara:
Application of the 0-1 Programming Model for Cost-Effective Regression Test. COMPSAC 2013: 720-721 - 2012
- [j5]Myrizki Sandhi Yudha, Ryohei Asano, Hirohisa Aman
A Feature Analysis of Co-changed Code Clone by Using Clone Metrics. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(9): 1498-1500 (2012) - [c6]Hirohisa Aman:
An Empirical Analysis of the Impact of Comment Statements on Fault-Proneness of Small-Size Module. APSEC 2012: 362-367 - [c5]Hirohisa Aman:
An Empirical Analysis on Fault-Proneness of Well-Commented Modules. IWESEP 2012: 3-9 - 2011
- [c4]Hirohisa Aman:
A Proposal of NHPP-Based Method for Predicting Code Change in Open Source Development. IWSM/Mensura 2011: 38-47
2000 – 2009
- 2008
- [c3]Hirohisa Aman, Hirokazu Okazaki:
Impact of Comment Statement on Code Stability in Open Source Development. JCKBSE 2008: 415-419 - 2006
- [j4]Hirohisa Aman, Naomi Mochiduki, Hiroyuki Yamada:
A Model for Detecting Cost-Prone Classes Based on Mahalanobis-Taguchi Method. IEICE Trans. Inf. Syst. 89-D(4): 1347-1358 (2006) - [c2]Hirohisa Aman, Hirokazu Okazaki, Hiroyuki Yamada:
An Effect of Comment Statements on Source Code Corrective Maintenance. JCKBSE 2006: 135-138 - 2005
- [j3]Hirohisa Aman, Naomi Mochiduki, Hiroyuki Yamada, Matu-Tarow Noda:
A Simple Predictive Method for Discriminating Costly Classes Using Class Size Metric. IEICE Trans. Inf. Syst. 88-D(6): 1284-1288 (2005) - [j2]Eddy Cizeron, Hirohisa Aman, Hiroshi Kai, Matu-Tarow Noda:
Security Flaw in SAS-2 Protocol. IEICE Trans. Commun. 88-B(10): 4081-4082 (2005) - 2004
- [j1]Hirohisa Aman, Kenji Yamasaki, Hiroyuki Yamada, Matu-Tarow Noda:
A Class Cohesion Metric Focusing on Cohesive-Part Size. IEICE Trans. Inf. Syst. 87-D(4): 838-848 (2004)
1990 – 1999
- 1999
- [c1]Kazunori Miyamoto, Hirohisa Aman, Torao Yanaru, Masahiro Nagamatsu:
Symbolized particles store type neuron model and its application. IJCNN 1999: 483-487
Coauthor Index
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