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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE 2022-03-09
13:00
Online Online (Zoom) On a test system for programming test for beginners
Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Univ. of Tokyo) KBSE2021-42
The authors have proposed an automatic scoring method in programming examinations for beginners using a programming lang... [more] KBSE2021-42
pp.7-11
KBSE 2021-03-05
14:05
Online Online Model-Based Testing Environment Equipped with a Network Simulator
Kosuke Fukuda (Univ. of Tokyo), Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Univ. of Tokyo) KBSE2020-36
The application of IoT devices is expanding. Model-based testing is one of the testing methods which fit well for IoT de... [more] KBSE2020-36
pp.13-18
KBSE 2021-03-06
11:05
Online Online Examining programming languages that enable automatic scoring
Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Univ. of Tokyo) KBSE2020-42
Automatic scoring is a desirable feature when conducting
programming examinations that many people take.
By preparing ... [more]
KBSE2020-42
pp.48-53
KBSE 2020-01-25
15:25
Tokyo Kikai-Shinko-Kaikan Bldg. Speedup of Model-Based Testing for IoT Software Using Virtual Time and State Distribution of Devices
Kotaro Tanabe (Tokyo Univ.), Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Tokyo Univ.) KBSE2019-44
Modbat is a model-based test tool that performs modeling using an extended finite state automaton(EFSM). In this study, ... [more] KBSE2019-44
pp.37-42
KBSE 2019-01-26
10:05
Tokyo NII Towards IoT software testing with model-based testing tool Modbat
Kotaro Tanabe (Univ. Tokyo), Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Univ. Tokyo) KBSE2018-44
Modbat is a tool for model-based testing, and it uses extended finite state machines for modeling.
In previous research... [more]
KBSE2018-44
pp.9-14
KBSE 2019-01-26
17:05
Tokyo NII Automatic book classification using neural networks
Haruki Sugiyama, Yoshinori Tanabe (Tsurumi Univ.) KBSE2018-53
There are many studies applying machine learning to classify books by the Nippon Decimal Classification (NDC), a system ... [more] KBSE2018-53
pp.61-66
ICM 2016-07-07
15:40
Hokkaido   Network configuration update procedure generation by using Datalog
Satoshi Yamazaki, Toshio Tonouchi (NEC), Yoshinori Tanabe (Tsurumi Univ.) ICM2016-14
 [more] ICM2016-14
pp.33-38
 Results 1 - 7 of 7  /   
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