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Technical Committee on Knowledge-Based Software Engineering (KBSE) (Searched in: 2019)
Search Results: Keywords 'from:2019-05-24 to:2019-05-24'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SWIM, KBSE | 2019-05-24 10:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Transfer Method of Project Management Technology by PMO
-- Knowledge Transfer to PM using PBL method -- Akihiro Hayashi (SIST)  KBSE2019-1 SWIM2019-1 |
It is widely recognized that process improvement activities are important in organizations that develop systems. Using C... [more] | KBSE2019-1 SWIM2019-1 pp.1-8 |
| SWIM, KBSE | 2019-05-24 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Construction of a regression analysis model of the electricity market including weather data
-- Economic analysis of price effect, energy conservation effect and social welfare effect -- Hiroyuki Ogura (Mitsubishi Electric Corp.), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) KBSE2019-2 SWIM2019-2 |
In this paper, we constructed a regression analysis model of the electricity power market including weather data, using ... [more] | KBSE2019-2 SWIM2019-2 pp.9-16 |
| SWIM, KBSE | 2019-05-24 12:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Software quality control by utilizing users
-- A consideration on quality control with "User participatory open innovation" -- Toyokazu Takehara, Mitsuyoshi Hiratsuka (TUS) KBSE2019-3 SWIM2019-3 |
We propose a method that introduces an open innovation approach that users can participate in for quality control work o... [more] | KBSE2019-3 SWIM2019-3 pp.17-23 |
| SWIM, KBSE | 2019-05-24 14:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Consideration on the Capability of ArchiMate for Expressing Business Models Shuichiro Yamamoto (Nagoya Univ.) KBSE2019-4 SWIM2019-4 |
ArchiMate is the Enterprise Architecture modeling language to visualizing variable concepts.. So far, several approaches... [more] | KBSE2019-4 SWIM2019-4 pp.25-30 |
| SWIM, KBSE | 2019-05-24 15:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | EA-Based Modeling for AI Service System Project and Its Practice Hironori Takeuchi (Musashi Univ.), Yamamoto Shuichiro (Nagoya Univ.), Shiki Akihara, Jun Ishii, Fumiaki Hoshino (IBMJ) KBSE2019-5 SWIM2019-5 |
[more] | KBSE2019-5 SWIM2019-5 pp.31-36 |
| SWIM, KBSE | 2019-05-24 16:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of system construction history in new pioneering business Kazuaki Sato, Takako Nakatani (OUJ) KBSE2019-6 SWIM2019-6 |
A new pioneering business penetrates the society as time passes, and becomes familiar. However, when launching a new pi... [more] |
KBSE2019-6 SWIM2019-6 pp.37-42 |
| SWIM, KBSE | 2019-05-25 09:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Novel Testing Approach Based on Exploratory Testing and Operation Recording Hiroyuki Kirinuki, Toshiyuki Kurabayashi, Haruto Tanno (NTT), Ippei Kumagawa, Keigo Nagata (NTT DATA) KBSE2019-7 SWIM2019-7 |
It is known that exploratory testing can detect bugs efficiently than scripted testing and is a popular activity in soft... [more] | KBSE2019-7 SWIM2019-7 pp.43-48 |
| SWIM, KBSE | 2019-05-25 09:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Proposal of FRAM Support Method using Probabilistic Model Checker Yoshitaka Aoki (NUL), Shinpei Ogata (Shinshu Univ) KBSE2019-8 SWIM2019-8 |
FRAM (Functional Resonance Analysis Method) is an analysis method to analyze and model a complex technical system. The F... [more] | KBSE2019-8 SWIM2019-8 pp.49-56 |
| SWIM, KBSE | 2019-05-25 10:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | RIPPLE: Proposal of low latency /load method for distributed, thin client ticketing system. Yuichi Kobayashi, Mizuki Nakayama, Ryousuke Araki, Etsuo Kaneda, Norimasa Okamura (Hitachi) KBSE2019-9 SWIM2019-9 |
Thin client applied station equipment are expected to achieve both existing service replacement and new service realizat... [more] | KBSE2019-9 SWIM2019-9 pp.57-64 |
| SWIM, KBSE | 2019-05-25 11:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Development of AI education method for new participants to AI
-- How should AI education be to non-IT engineers and sales personnel -- Hisao Koizumi (Study Group of M2M), Nobuhiro Ooe (Toukai Univ.), Yasutomo Akiyama (Itec Hankyuhanshin), Masashi (Nouken), Jun Sawamoto (Iwateken Univ.), Katsuhikko Kiyoo (Cyber Univ.), Hedekazu Tsuji (Study Group of M2M), Tadashi Ogino (Meisei Univ.), Masahiro Inoue (Shibakou Univ.), Takeshi Nakajima (Shibakou Univ) KBSE2019-10 SWIM2019-10 |
(To be available after the conference date) [more] | KBSE2019-10 SWIM2019-10 pp.65-72 |
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