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Sousuke Amasaki
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2020 – today
- 2024
- [c76]Hirohisa Aman
, Sousuke Amasaki
A Quantitative Investigation of Trends in Confusing Variable Pairs Through Commits: Do Confusing Variable Pairs Survive? EASE 2024: 90-99 - [c75]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 - [c74]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
- [j14]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) - [j13]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) - [j12]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman:
An Evaluation of Word Embeddings on Vulnerability Prediction with Software Metrics. WiPiEC Journal 9(2) (2023) - [c73]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 - [c72]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 - [c71]Sousuke Amasaki:
On Effectiveness of Further Pre-training on BERT Models for Story Point Estimation. PROMISE 2023: 49-53 - [c70]Shizuka Tsumita, Shinpei Hayashi, Sousuke Amasaki:
Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL. SANER 2023: 815-824 - [c69]Shinnosuke Irie
A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest. WSSE 2023: 33-38 - [i1]Shizuka Tsumita, Shinpei Hayashi, Sousuke Amasaki:
Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL. CoRR abs/2302.14293 (2023) - 2022
- [j11]Pattara Leelaprute
A comparative study on vectorization methods for non-functional requirements classification. Inf. Softw. Technol. 150: 106991 (2022) - [c68]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 - [c67]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
An Evaluation of Effort-Aware Fine-Grained Just-in-Time Defect Prediction Methods. SEAA 2022: 209-216 - [c66]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 - [c65]Kazuki Wayama
Verifying Game Logic in Unreal Engine 5 Blueprint Visual Scripting System Using Model Checking. ASE 2022: 213:1-213:8 - [c64]Sousuke Amasaki
An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction. PROFES 2022: 433-448 - 2021
- [c63]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Preliminary Evaluation of CPDP Approaches on Just-in-Time Software Defect Prediction. SEAA 2021: 279-286 - [c62]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 - [c61]Sousuke Amasaki
Searching for Bellwether Developers for Cross-Personalized Defect Prediction. PROFES 2021: 183-198 - [c60]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 - [e3]Shane McIntosh, Xin Xia, Sousuke Amasaki:
PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, Athens Greece, August 19-20, 2021. ACM 2021, ISBN 978-1-4503-8680-7 [contents] - 2020
- [j10]Sousuke Amasaki
Cross-version defect prediction: use historical data, cross-project data, or both? Empir. Softw. Eng. 25(2): 1573-1595 (2020) - [j9]Nao Igawa, Tomoyuki Yokogawa, Sousuke Amasaki, Masafumi Kondo, Yoichiro Sato, Kazutami Arimoto:
Symbolic Representation of Time Petri Nets for Efficient Bounded Model Checking. IEICE Trans. Inf. Syst. 103-D(3): 702-705 (2020) - [j8]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) - [c59]Sousuke Amasaki:
Augmenting Window Contents with Transfer Learning for Effort Estimation. QuASoQ@APSEC 2020: 4-12 - [c58]Masanao Asato, Hirohisa Aman
A Mahalanobis Distance-Based Integration of Suspicious Scores For Bug Localization. APSEC 2020: 475-479 - [c57]Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
A Comparative Study of Vectorization-Based Static Test Case Prioritization Methods. SEAA 2020: 80-88 - [c56]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
On the Effects of File-level Information on Method-level Bug Localization. SEAA 2020: 314-321 - [c55]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 - [c54]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
- [c53]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 - [c52]Hirohisa Aman
A Survival Analysis-Based Prioritization of Code Checker Warning: A Case Study Using PMD. BCD (selected papers) 2019: 69-83 - [c51]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
Towards Better Effort Estimation with Cross-Project Defect Prediction Approaches. EASE 2019: 357-360 - [c50]Sousuke Amasaki, Hirohisa Aman, Tomoyuki Yokogawa:
A Comparative Study of Vectorization Methods on BugLocator. SEAA 2019: 236-243 - [c49]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 - [c48]Sousuke Amasaki
Exploring Preference of Chronological and Relevancy Filtering in Effort Estimation. PROFES 2019: 247-262 - [c47]Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation. PROMISE 2019: 76-79 - 2018
- [j7]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) - [c46]Hirohisa Aman
A Doc2Vec-Based Assessment of Comments and Its Application to Change-Prone Method Analysis. APSEC 2018: 643-647 - [c45]Kazuki Yamauchi, Hirohisa Aman
Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development. BCD 2018: 7-14 - [c44]Keiichiro Tashima, Hirohisa Aman
Fault-Prone Java Method Analysis Focusing on Pair of Local Variables with Confusing Names. SEAA 2018: 154-158 - [c43]Sousuke Amasaki, Pattara Leelaprute:
The Effects of Vectorization Methods on Non-Functional Requirements Classification. SEAA 2018: 175-182 - [c42]Nao Igawa, Tomoyuki Yokogawa, Sousuke Amasaki, Kiyotaka Komoku, Yoichiro Sato, Kazutami Arimoto:
Interpolation Based Unbounded Model Checking for Time Petri Nets. GCCE 2018: 619-623 - [c41]Sousuke Amasaki:
Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work? PROMISE 2018: 32-41 - [e2]Marco Kuhrmann, Kurt Schneider
Product-Focused Software Process Improvement - 19th International Conference, PROFES 2018, Wolfsburg, Germany, November 28-30, 2018, Proceedings. Lecture Notes in Computer Science 11271, Springer 2018, ISBN 978-3-030-03672-0 [contents] - 2017
- [c40]Sousuke Amasaki, Chris Lokan:
An Evaluation of Selection Methods for Time-Aware Effort Estimation. APSEC 2017: 624-629 - [c39]Yuto Miyake, Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman
An Empirical Study on Relationships between Comments and Design Properties. ACIT/CSII/BCD 2017: 254-259 - [c38]Masateru Tsunoda, Sousuke Amasaki:
On Software Productivity Analysis with Propensity Score Matching. ESEM 2017: 436-441 - [c37]Sousuke Amasaki:
A Comparative Study on Linear Combination Rules for Ensemble Effort Estimation. SEAA 2017: 104-107 - [c36]Hirohisa Aman
Empirical Analysis of Words in Comments Written for Java Methods. SEAA 2017: 375-379 - [c35]Sho Suzuki, Hirohisa Aman
An Application of the PageRank Algorithm to Commit Evaluation on Git Repository. SEAA 2017: 380-383 - [c34]Hirohisa Aman
Empirical Study of Abnormalities in Local Variables of Change-Prone Java Methods. ISSRE Workshops 2017: 214-221 - [c33]Hirohisa Aman
A Health Index of Open Source Projects Focusing on Pareto Distribution of Developer's Contribution. IWESEP 2017: 29-34 - [c32]Sousuke Amasaki, Chris Lokan:
A Virtual Study of Moving Windows for Software Effort Estimation Using Finnish Datasets. PROFES 2017: 71-79 - [c31]Hirohisa Aman
A Survival Analysis of Source Files Modified by New Developers. PROFES 2017: 80-88 - [c30]Sousuke Amasaki:
On Applicability of Cross-project Defect Prediction Method for Multi-Versions Projects. PROMISE 2017: 93-96 - 2016
- [c29]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 - [c28]Sousuke Amasaki, Chris Lokan:
A replication study on the effects of weighted moving windows for software effort estimation. EASE 2016: 40:1-40:9 - [c27]Sousuke Amasaki, Chris Lokan:
On Applicability of Fixed-Size Moving Windows for ANN-Based Effort Estimation. IWSM-Mensura 2016: 213-218 - [c26]Sousuke Amasaki, Chris Lokan:
Towards Better Selection Between Moving Windows and Growing Portfolio. PROFES 2016: 627-630 - [c25]Sousuke Amasaki, Chris Lokan:
Evaluation of Moving Window Policies with CART. IWESEP@SANER 2016: 24-29 - [e1]Pekka Abrahamsson, Andreas Jedlitschka, Anh Nguyen-Duc, Michael Felderer, Sousuke Amasaki, Tommi Mikkonen:
Product-Focused Software Process Improvement - 17th International Conference, PROFES 2016, Trondheim, Norway, November 22-24, 2016, Proceedings. Lecture Notes in Computer Science 10027, 2016, ISBN 978-3-319-49093-9 [contents] - 2015
- [j6]Tomoyuki Yokogawa, Masafumi Kondo, Hisashi Miyazaki, Sousuke Amasaki, Yoichiro Sato, Kazutami Arimoto:
Bounded model checking of Time Petri Nets using SAT solver. IEICE Electron. Express 12(2): 20141112 (2015) - [j5]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) - [j4]Sousuke Amasaki, Chris Lokan:
On the effectiveness of weighted moving windows: Experiment on linear regression based software effort estimation. J. Softw. Evol. Process. 27(7): 488-507 (2015) - [c24]Kazuya Kawata, Sousuke Amasaki, Tomoyuki Yokogawa:
Improving Relevancy Filter Methods for Cross-Project Defect Prediction. ACIT-CSI 2015: 2-7 - [c23]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 - [c22]Sousuke Amasaki, Kazuya Kawata, Tomoyuki Yokogawa:
Improving Cross-Project Defect Prediction Methods with Data Simplification. EUROMICRO-SEAA 2015: 96-103 - [c21]Sousuke Amasaki, Chris Lokan:
The Effects of Duration-Based Moving Windows with Estimation by Analogy. IWSM/Mensura 2015: 14-29 - [c20]Sousuke Amasaki, Chris Lokan:
A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy. PROMISE 2015: 6:1-6:10 - 2014
- [c19]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 - [c18]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 - [c17]Sousuke Amasaki, Chris Lokan:
The Effect of Moving Windows on Software Effort Estimation: Comparative Study with CART. IWESEP 2014: 1-6 - [c16]Sousuke Amasaki, Chris Lokan:
The Effects of Gradual Weighting on Duration-Based Moving Windows for Software Effort Estimation. PROFES 2014: 63-77 - 2013
- [c15]Masateru Tsunoda, Sousuke Amasaki, Chris Lokan:
How to treat timing information for software effort estimation? ICSSP 2013: 10-19 - [c14]Sousuke Amasaki, Tomoyuki Yokogawa:
The Effects of Variable Selection Methods on Linear Regression-Based Effort Estimation Models. IWSM/Mensura 2013: 98-103 - [c13]Tomoyuki Yokogawa, Sousuke Amasaki, Keisuke Okazaki, Yoichiro Sato, Kazutami Arimoto, Hisashi Miyazaki:
Consistency Verification of UML Diagrams Based on Process Bisimulation. PRDC 2013: 126-127 - [c12]Sousuke Amasaki, Chris Lokan:
The Evaluation of Weighted Moving Windows for Software Effort Estimation. PROFES 2013: 214-228 - 2012
- [j3]Hisashi Miyazaki, Tomoyuki Yokogawa, Sousuke Amasaki, Kazuma Asada, Yoichiro Sato:
Synthesis and Refinement Check of Sequence Diagrams. IEICE Trans. Inf. Syst. 95-D(9): 2193-2201 (2012) - [c11]Masateru Tsunoda, Sousuke Amasaki, Akito Monden
Handling categorical variables in effort estimation. ESEM 2012: 99-102 - [c10]Sousuke Amasaki:
A Study on the Use of COSMIC BFCs for Effort Estimation. IWESEP 2012: 58-60 - [c9]Sousuke Amasaki, Chris Lokan:
The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy. IWSM/Mensura 2012: 23-32 - [c8]Sousuke Amasaki, Tomoyuki Yokogawa:
A Study on Predictive Performance of Regression-Based Effort Estimation Models Using Base Functional Components. PROFES 2012: 350-354 - 2011
- [c7]Sousuke Amasaki, Yohei Takahara, Tomoyuki Yokogawa:
Performance Evaluation of Windowing Approach on Effort Estimation by Analogy. IWSM/Mensura 2011: 188-195 - [c6]Sousuke Amasaki:
Replicated analyses of windowing approach with single company datasets. PROFES Workshops 2011: 14-17 - [c5]Sousuke Amasaki:
A Study on Performance Inconsistency between Estimation by Analogy and Linear Regression. SEKE 2011: 485-488 - 2010
- [c4]Sousuke Amasaki:
Productivity Reanalysis for Unbalanced Datasets with Mixed-Effects Models. PROFES 2010: 276-290
2000 – 2009
- 2006
- [c3]Sousuke Amasaki, Yasuhiro Hamano, Osamu Mizuno
Characterization of Runaway Software Projects Using Association Rule Mining. PROFES 2006: 402-407 - 2005
- [j2]Sousuke Amasaki, Yasunari Takagi, Osamu Mizuno
Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development. IEICE Trans. Inf. Syst. 88-D(6): 1134-1141 (2005) - [j1]Sousuke Amasaki, Takashi Yoshitomi, Osamu Mizuno
A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation. Softw. Qual. J. 13(2): 177-193 (2005) - 2003
- [c2]Sousuke Amasaki, Yasunari Takagi, Osamu Mizuno, Tohru Kikuno:
A Bayesian Belief Network for Assessing the Likelihood of Fault Content. ISSRE 2003: 215-226 - 2002
- [c1]Sousuke Amasaki, Takashi Yoshitomi, Osamu Mizuno, Tohru Kikuno, Yasunari Takagi:
Statistical Analysis of Time Series Data on the Number of Faults Detected by Statistical Analysis of Time Series Data on the Number of Faults Detected by Software Testing. Asian Test Symposium 2002: 272-277
Coauthor Index
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