Papers - KATAYAMA Tetsuro
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テスト駆動開発における継続的な支援を目的としたフレームワークCATddの試作 Reviewed
宮下 丈明, 片山 徹郎
ソフトウェアエンジニアリングシンポジウム2023論文集 144 - 153 2023.8
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Tsunami evacuation simulation considering road width in Aoshima district Reviewed
Nabeyama K., Usuzaki S., Aburada K., Yamaba H., Katayama T., Okazaki N.
Artificial Life and Robotics 28 ( 4 ) 779 - 788 2023.7
Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
Japan is one of the countries in the world where natural disasters occur most frequently. Typhoons, earthquakes, tsunamis, volcanic eruptions, and many other natural disasters occur in Japan every year, and the risks are immeasurable. Japan is especially prone to earthquakes because of its location on the North American Plate, Eurasian Plate, Pacific Plate, and Philippine Sea Plate. Preparation for a Nankai Trough earthquake is one of the most important issues. A Nankai trough earthquake is predicted to occur with a probability of 70–80% within 30 years. Accordingly, a tsunami of more than 10 ms is expected to hit a wide area along the Pacific coast from the Kanto region to the Kyushu region, and the impact is expected to be significant. When a tsunami warning is issued, an evacuation support system that provides information on evacuation sites and routes enables faster and safer evacuation actions. In a previous study conducted in our laboratory, we proposed an evacuation support system using Low-Power Wide-Area communications and conducted a simulation to find ways to improve the evacuation support system. However, the simulation was insufficient in that it did not consider delays in evacuation completion time due to road congestion caused by limited road width, which can be expected in an actual disaster. In our current research, as an improvement to make the simulation more realistic for further developing our evacuation support system, we propose a simulation that considers road width. We examined how adoption of this simulation methodology would affect the simulation results by comparing simulations that did and did not consider road width. As a result, the proposed method showed a lower percentage of completed evacuations than the previous simulation, especially for children and the elderly. The reason for this result is that when evacuations begin simultaneously, crowding occurs as people all rush to evacuation centers. This congestion on the roads near evacuation centers prevents people from completing their evacuations. Such a phenomenon is expected to occur not only in simulations but also on actual roads. For this reason, our proposed simulation method that considers road width is a more realistic simulation. Since evacuations by car in the event of a disaster also occur, a future issue is to simulate car congestion as well. Furthermore, simulating what would happen if a disaster made a road impassable is also important.
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Prototype of the Framework CATdd to Support Continuous Development in Test Driven Development Reviewed
Miyashita Takeaki, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Advances in Artificial Life Robotics 4 ( 1 ) 35 - 40 2023.6
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
TDD is a development methodology to improve software quality. In this study, we prototype the framework CATdd (Continuous Automated Test Driven Development), which supports continuous development with TDD. CATdd reduces the time of implementation step in TDD by generating new source code that passes tests using LLM. CATdd maintains consistency with other source code in the project by using existing source code and related source code to prompt. As a result of the evaluation experiments, the time for the implementation step in TDD was reduced by 94% for a simple task and by 56% for another more complex task. In conclusion, CATdd is useful to support continuous development.
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Analysis of Self Determination Factors for Continuance Intention on Online Learning Management System Reviewed
Saputra Mochamad Chandra, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu, Wicaksono Satrio Agung
Journal of Robotics, Networking and Artificial Life 10 ( 1 ) 91 - 95 2023.6
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
The COVID-19 pandemic outbreak transformed the paradigm of the educational process. Many educational institutions, including the University, mainly the Faculty of Computer Science, Brawijaya University, have experienced success with learning through the Internet. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. This study investigates continuance intention factor by using self determination model as a research model. The objective of this study is to find the factor factors affecting students' continuance intention toward online learning management systems. The proposed model is useful for investigating continuance intention factors. The study finds that intrinsic regulation, external regulation, identified regulation, and introjected regulation significantly positive impact on continuance intention in learning management systems. Finally, this study provides suggestions for the Faculty to improve the continuance intention of the student in using an online learning management system.
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The Impact of Design-level Class Decomposition on the Software Maintainability Reviewed
Priyambadha B., Katayama T.
International Journal of Advanced Computer Science and Applications 14 ( 4 ) 405 - 413 2023.4
Authorship：Corresponding author Publishing type：Research paper (scientific journal) Publisher：International Journal of Advanced Computer Science and Applications
The quality of the software's internal structure tends to decay due to the adaptation to environmental changes. Therefore, it is beneficial to maintain the internal structure of the software to benefit future phases of the software life cycle. A common correlation exists between decaying internal structures and problems like software smell and maintenance costs. Refactoring is a process to maintain the internal structure of software artifacts based on the smell. Decomposition of classes is one of the most common refactoring actions based on Blob smell performed at the source code level. Moving the class decomposition process to the design artifact seems to affect the quality and maintainability of the source code positively. Therefore, studying the impact of design-level class decomposition on source code quality and software maintainability is essential to ascertain the benefits of implementing design-level class decomposition. The metrics-based evaluation shows that the design-level class decomposition positively impacts the source code quality and maintainability with the rank biserial value is 0.69.
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Tende I.G., Aburada K., Yamaba H., Katayama T., Okazaki N.
Agriculture (Switzerland) 13 ( 3 ) 2023.3
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Agriculture (Switzerland)
Prediction of crop yields is very helpful in ensuring food security, planning harvest management (storage, transport, and labor), and performing market planning. However, in Tanzania, where a majority of the population depends on crop farming as a primary economic activity, the digital tools for predicting crop yields are not yet available, especially at the grass-roots level. In this study, we developed and evaluated Maize Yield Prediction System (MYPS) that uses a short message service (SMS) and the Web to allow rural farmers (via SMS on mobile phones) and government officials (via Web browsers) to predict district-level end-of-season maize yields in Tanzania. The system uses LSTM (Long Short-Term Memory) deep learning models to forecast district-level season-end maize yields from remote sensing data (NDVI on the Terra MODIS satellite) and climate data [maximum temperature, minimum temperature, soil moisture, and precipitation (rainfall)]. The key findings reveal that our unimodal and bimodal deep learning models are very effective in predicting crop yields, achieving mean absolute percentage error (MAPE) scores of 3.656% and 6.648%, respectively, on test (unseen) data. This system will help rural farmers and the government in Tanzania make critical decisions to prevent hunger and plan better harvesting and marketing of crops.
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VDM++仕様を対象としたテストケース自動生成ツールBWDMの適用範囲拡大による実用性の向上 Reviewed
武藤 崇史, 片山 徹郎
ソフトウェアテストシンポジウム2023東京(JaSST'23 Tokyo)論文集 29 - 36 2023.3
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Miyashita T., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 347 - 351 2023.2
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of International Conference on Artificial Life and Robotics
TDD is a development methodology that brings us closer to better implementation and testing by repeating a series of steps: test design, implementation that satisfies the tests, and refactoring. This paper proposes a framework aimed at supporting the implementation steps in TDD. The proposed framework generates source code that passes tests while retaining refactoring by the developer. The prototyped framework reduced the time required for the implementation process by 94.22% and the generation time by 66.17% compared to manual work.
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Saputra M.C., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 352 - 356 2023.2
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of International Conference on Artificial Life and Robotics
The outbreak of the COVID-19 pandemic changed the model of the learning process. Online learning became one of the best solutions for many educational institutions, including the University, especially the Faculty of Computer Science, Brawijaya University. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. To understand students' continuance intention this study proposes self determination model as a research model to find the factors affecting students' continuance intention toward online learning management systems. The proposed model is useful for investigating continuance intention factors. The study finds that intrinsic regulation, external regulation, identified regulation, and introjected regulation significantly positive impact on continuance intention in learning management systems. Finally, this study provides suggestions for the Faculty to improve the continuance intention of the student in using an online learning management system.
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Matsumoto S., Katayama T., Takagi T.
Proceedings of International Conference on Artificial Life and Robotics 339 - 342 2023.2
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of International Conference on Artificial Life and Robotics
Extended Place/transition Net with Attributed Tokens (EPNAT) is one of formal modeling languages, and it enables system engineers to construct an executable and abstracted behavioral model of multiple software systems. In this paper, we propose an automated random simulation technique of an EPNAT model in order to detect failures in the model. In the simulation, input is randomly selected for model execution. When a constraint given for each system or multiple systems is violated through the model execution, a failure is revealed. The simulation is terminated by the detection of a failure or the satisfaction of a criterion focusing on the combination of marking, data writing and reading between different systems. A prototype tool of the simulation technique was developed and applied to a trial model to discuss its effectiveness. Two failures inserted into the trial model were successfully detected, and a few challenges were found in the experiment.
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Muto Takafumi, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 3 ) 255 - 262 2022.12
Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
The use of the formal specification description language VDM++ in software design can eliminate ambiguity in the specification. However, software testing after implementation is necessary even if the design uses VDM++, but manually generating test cases is labor-intensive and time-consuming. Therefore, our laboratory developed BWDM, which is an automatic test case generation tool for VDM++ specifications. However, BWDM is not very useful because it has three problems about its narrow scope of application. This paper solves the three problems and improves the usefulness of BWDM by expanding the scope of application of VDM++ definitions and adding a function to generate test cases for object states. In addition, we conducted a comparison experiment with manual test case generation and confirmed that BWDM can reduce work time.
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Proposal and Implementation of Gamma Which Is a Spatial Data Sharing Distributed MQTT System Reviewed
Ueda Takahiro, Katayama Tetsuro
Memoirs of Faculty of Engineering, University of Miyazaki 51 129 - 133 2022.11
Language：Japanese Publishing type：Research paper (scientific journal)
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Muto Takafumi, Katayama Tetsuro
Memoirs of Faculty of Engineering, University of Miyazaki 51 141 - 146 2022.11
Language：Japanese Publishing type：Research paper (scientific journal)
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Suga Kensuke, Katayama Tetsuro
Memoirs of Faculty of Engineering, University of Miyazaki 51 135 - 140 2022.11
Language：Japanese Publishing type：Research paper (scientific journal)
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VDM++仕様書におけるクラスとインスタンス変数定義の機械学習を用いた生成手法の提案 Reviewed
菅 健将, 片山 徹郎
ソフトウェアエンジニアリングシンポジウム2022論文集 79 - 88 2022.9
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Proposal of Gamma Which Is a Messaging Platform for Spatial Data Reviewed
Ueda Takahiro, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 2 ) 136 - 142 2022.9
Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
This paper proposes Gamma, which is a messaging platform for spatial data. Gamma uses distributed MQTT system for spatial data sharing, and this paper aims to improve the usefulness of distributed MQTT system. In the experiment, it has been found that Gamma can process more messages than a single MQTT broker. It is confirmed that Gamma achieves scalability by increasing the number of Gateways and distributed MQTT brokers. Furthermore, it is confirmed that the efficiency of the distributed MQTT system can be improved by setting the responsibility area of Gateways.
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Enhancement of Design Level Class Decomposition using Evaluation Process Reviewed
Priyambadha B., Katayama T.
International Journal of Advanced Computer Science and Applications 13 ( 8 ) 130 - 139 2022.8
Language：English Publishing type：Research paper (scientific journal) Publisher：International Journal of Advanced Computer Science and Applications
Refactoring on the design level artifact such as the class diagram was already done using the threshold-based agglomerative hierarchical clustering method, specifically class decomposition. The approach produced a better cluster based on the label name similarity of attribute and method. But, some problems emerge from the experiment result. The negative Silhouettes element still exist in the cluster. And, there is an unusable cluster that only consists of one attribute element. This paper has proposed the evaluation process to optimize the result of clustering. This evaluation process is an additional process that aims to move the negative Silhouettes element to the other cluster. The movement is also to get the better value of element Silhouettes value. The evaluation process can produce a better result for clusters. The clusters produced from the evaluation process have higher Silhouettes values. The average Silhouettes value is increased by about 40%. Ultimately, the result shows no unusable cluster as mentioned in the previous research.
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Detection of Blob and Feature Envy Smells in a Class Diagram using Class's Features Reviewed
Priyambadha Bayu, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 1 ) 43 - 48 2022.8
Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
Measuring the quality of software design artifacts is difficult due to the limitation of information in the design phase. The class diagram is one of the design artifacts produced during the design phase. The syntactic and semantic information in the class is essential to consider in the measurement process. Smell detection uses class-related information to detect the smell as an indicator of a lack of quality. Several classifiers use all information related to the class to prove how informative it for the smell detection process. The smell types that are a concern in this research are Blob and Feature Envy. The experiment using three classifiers (j48, Multi-Layer Perceptron, and Naïve Bayes) confirms that Blob smell detection utilizes the information successfully. On the other hand, Feature Envy still needs more elaboration. The average true positive rate by the classifiers is about 80.67%.
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Proposal of a Method to Generate Classes and Instance Variable Definitions in VDM++ Specification by Using Machine Learning Reviewed
Suga Kensuke, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Advances in Artificial Life Robotics 2 ( 4 ) 189 - 194 2022.6
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate only type and constant definitions in VDM++ specification from natural language specification by using machine learning. This paper proposes a method to generate classes and instance variable definitions in VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F- values, it has been confirmed that the proposed method can improve the usefulness of the existing method.
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空間データを対象とした分散MQTTシステムGammaの提案と実装
上田高寛, 片山徹郎
情報処理学会九州支部研究会(火の国情報シンポジウム2022) ( A21-5 ) 1 - 8 2022.3
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)