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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 93  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SWIM, KBSE 2024-05-17
15:45
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A Tool for Use Case Driven Modeling of Screen Transitions
Guo Yaojun, Shinpei Ogata, Kozo Okano (Shinshu Univ.)
 [more]
KBSE 2024-03-14
13:45
Okinawa Okinawa Prefectual General Welfare Center
(Primary: On-site, Secondary: Online)
Consideration on System Safety Verification Based on User Personality Traits
Ruka Narisawa, Shinpei Ogata (Shinshu Univ.), Yoshitaka Aoki (BIPROGY), Hiroyuki Nakagawa (Osaka Univ.), Kazuki Kobayashi, Kozo Okano (Shinshu Univ.) KBSE2023-72
(To be available after the conference date) [more] KBSE2023-72
pp.43-48
KBSE 2024-03-14
15:15
Okinawa Okinawa Prefectual General Welfare Center
(Primary: On-site, Secondary: Online)
A Method to Create Scenario by Large Language Model for Input Amount Simulation
Yusuke Koyama, Shinpei Ogata, Kozo Okano (Shinshu Univ.) KBSE2023-75
One of the means to reasonably reduce the burden of user input to the UI (User Interface) is to introduce usability-enha... [more] KBSE2023-75
pp.61-66
SS, DC 2023-10-11
14:55
Nagano
(Primary: On-site, Secondary: Online)
Comparison of Automatic Extraction Methods for Generating Causal Component Models from Software Requirement Specifications
Takeki Ninomiya, Masanosuke Ohto, Toshiki Takaoka, Shinpei Ogata, Kozo Okano (Shinshu Univ) SS2023-22 DC2023-28
In software development, development proceeds using requirement specifications that describe software requirements in na... [more] SS2023-22 DC2023-28
pp.7-12
SS, DC 2023-10-11
15:20
Nagano
(Primary: On-site, Secondary: Online)
Efficient Automatic Classification of Non-Functional Requirements in Information Systems Using Deep Learning -- A Comparative Accuracy Analysis between BERT and GPT-2 --
Kazuhiro Mukaida (Shinshu Univ.), Seiji Fukui, Takeshi Nagaoka, Takayuki Kitagawa (TOSHIBA), Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2023-23 DC2023-29
Recent Advancements in deep learning are increasingly enabling the automation of classifying non-functional requirements... [more] SS2023-23 DC2023-29
pp.13-18
SS, DC 2023-10-12
10:25
Nagano
(Primary: On-site, Secondary: Online)
Robustness trends of DP-SGD, a machine learning with differential privacy
Takahiro Kanki, Shinpei Ogata, Kozo Okano (Sinshu Univ), Shin Nakajima (NII) SS2023-28 DC2023-34
Although machine learning has been successful in various fields, there is a problem that an adversary can extract traini... [more] SS2023-28 DC2023-34
pp.38-43
SS, KBSE, IPSJ-SE [detail] 2023-07-22
11:25
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of System Behavior using two types of model checking
Yoshitaka Aoki (BIPROGY), Shinpei Ogata (Shinshu Univ.), Hiroyuki Nkagawa (Osaka Univ.), Kazuki Kobayashi (Shinshu Univ.) SS2023-20 KBSE2023-31
 [more] SS2023-20 KBSE2023-31
pp.110-115
SWIM, KBSE 2023-05-19
14:30
Shizuoka
(Primary: On-site, Secondary: Online)
Analysis of the Completeness of Functional Requirement Sentences in Natural Language
Naoki Narusawa (Shinshu Univ.), Atsushi Ohnishi (Ritsumeikan Univ.), Shinpei Ogata, Okano Kozo (Shinshu Univ.) KBSE2023-2 SWIM2023-2
(To be available after the conference date) [more] KBSE2023-2 SWIM2023-2
pp.7-12
SWIM, KBSE 2023-05-19
15:55
Shizuoka
(Primary: On-site, Secondary: Online)
Method for Modeling of Anti Patterns for Machine Learning Projects
Hironori Takeuchi (Musashi Univ.), Shinpei Ogata (Shinshu Univ.), Haruhiko Kaiya (Kanagawa Univ.), Hiroyuki Nakagawa (Osaka Univ.), Shuichiro Yamamoto (ITPUTN) KBSE2023-4 SWIM2023-4
 [more] KBSE2023-4 SWIM2023-4
pp.21-26
SWIM, KBSE 2023-05-20
14:25
Shizuoka
(Primary: On-site, Secondary: Online)
A Study on Identifying Occurrence of User's Forgetting to Take Items from Interactive Systems
Ruka Narisawa, Shinpei Ogata (Shinshu Univ.), Yoshitaka Aoki (BIPROGY), Hiroyuki Nakagawa (Osaka Univ.), Kazuki Kobayashi, Kozo Okano (Shinshu Univ.) KBSE2023-10 SWIM2023-10
(To be available after the conference date) [more] KBSE2023-10 SWIM2023-10
pp.59-64
SS 2023-03-14
11:50
Okinawa
(Primary: On-site, Secondary: Online)
Temporal relation identification toward generating temporal logic formulas
Maiko Onishi (Ochanomizu Univ.), Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2022-49
There is room to utilize temporal relations in relation extraction that is incorporated in the analysis of requirements ... [more] SS2022-49
pp.13-18
SS 2023-03-15
13:45
Okinawa
(Primary: On-site, Secondary: Online)
Improvement of Encoding and Ablation Methods in Fault Localization by Ablation
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-67
Spectrum-based Fault Localization (SFL) is a technique to locate faults in source code using execution traces. A method ... [more] SS2022-67
pp.121-126
KBSE, SC 2022-11-04
13:35
Nagano  
(Primary: On-site, Secondary: Online)
Investigation of Bad Smells for Machine Learning Projects
Hironori Takeuchi (Musashi Univ.), Shinpei Ogata (Shinshu Univ.), Haruhiko Kaiya (Kanagawa Univ.), Hiroyuki Nakagawa (Osaka Univ.) KBSE2022-31 SC2022-26
 [more] KBSE2022-31 SC2022-26
pp.1-6
KBSE, SC 2022-11-04
14:05
Nagano  
(Primary: On-site, Secondary: Online)

Soshi Nitta, Hiroyuki Nakagawa (Osaka Univ.), Shinpei Ogata (Shinshu Univ.), Hironori Takeuchi (Musashi Univ.), Haruhiko Kaiya (Kanagawa Univ.), Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2022-39 SC2022-34
 [more] KBSE2022-39 SC2022-34
pp.48-53
DC, SS 2022-10-25
14:15
Fukushima  
(Primary: On-site, Secondary: Online)
Relationship between the Defects in Learning Programs and the Model Distortion on the Convolutional Neural Networks
Takumi Tsuchiya, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-26 DC2022-32
In recent years, the quality issue of machine learning software has become an important concern. When considering the qu... [more] SS2022-26 DC2022-32
pp.23-28
DC, SS 2022-10-25
14:40
Fukushima  
(Primary: On-site, Secondary: Online)
Comparison of the Coverage Indicators of Evaluation Data for the Convolutional Neural Networks
Yuto Yokoyama, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakazima (NII) SS2022-27 DC2022-33
Neuron Coverage (NC) was proposed as a measure to quantify the usefulness of evaluation data against Deep Neural Network... [more] SS2022-27 DC2022-33
pp.29-34
SS, IPSJ-SE, KBSE [detail] 2022-07-29
16:50
Hokkaido Hokkaido-Jichiro-Kaikan (Sapporo)
(Primary: On-site, Secondary: Online)
A Tentative Method to Automatically Generate Logs for Analyzing Relations between Configurations and Logs for Docker-based Web Application
Hiroki Kasai (Shinshu Univ.), Satoshi Yazawa (VR), Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2022-17 KBSE2022-27
 [more] SS2022-17 KBSE2022-27
pp.97-102
SC 2022-05-27
13:00
Online Online Constructing Knowledge for Machine Learning Projects Using Decision Process Model
Hironori Takeuchi (Musashi Univ.), Shinpei Ogata (Shinshu Univ.), Haruhiko Kaiya (Kanagawa Univ.), Hiroyuki Nakagawa (Osaka Univ.) SC2022-6
 [more] SC2022-6
pp.31-36
SS 2022-03-07
11:20
Online Online Trace Ablation and Fault Localization per Method Using Machine Learning Models for Automatic Classification of Test Execution Results
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2021-44
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] SS2021-44
pp.13-18
SS, MSS 2022-01-12
09:15
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Execution-trace embedding using word-proximity metric for a method to automatically classify test results
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) MSS2021-46 SS2021-33
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] MSS2021-46 SS2021-33
pp.83-88
 Results 1 - 20 of 93  /  [Next]  
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