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All Technical Committee Conferences (Searched in: Recent 10 Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
KBSE |
2022-03-09 13:00 |
Online |
Online (Zoom) (Online) |
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 (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 (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. (Tokyo) |
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 (Tokyo) |
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 (Tokyo) |
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 |
(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 |
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