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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2024-05-18 15:00 |
Aichi | Nagoya Champus, Aichi University (Primary: On-site, Secondary: Online) |
Reliability Prediction in Software Unit Test Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.)  R2024-4 |
Software bug prediction aims at predicting bug-prone modules in advance during the unit testing, and is reduced to a sta... [more] | R2024-4 pp.17-22 |
| R | 2021-07-17 14:25 |
Online | Virtual | Refined Ensemble Learning Algorithms for Software Bug Prediction
-- Metaheuristic Approach -- Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19 |
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial bee colon... [more] |
R2021-19 pp.18-23 |
| KBSE | 2021-03-06 15:10 |
Online | Online | Software Bug Severity Prediction with BERT
-- Case Study on a Large-scale Enterprise System -- Tomoki Yamada, Takako Nakatani (OUJ) KBSE2020-47 |
This paper aims to automatically assess the severity of software bug reports issued from a large-scale enterprise system... [more] | KBSE2020-47 pp.77-82 |
| R | 2017-10-20 14:50 |
Kumamoto | A note on changes of source codes in bug-fixing commits Mamoru Ohara (TIRI) R2017-46 |
Nowadays in many software development projects, testing and fixing the defects usually cost a major part of the whole ... [more] |
R2017-46 pp.13-16 |
|
| SS, MSS | 2014-01-31 14:25 |
Aichi | Design and Implementation of the tool for bug prediction at the change level Shutaro Tanaka, Kazuhiro Yamashita, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) MSS2013-70 SS2013-67 |
Some previous studies show that bug prediction at the change-level (i.e., bug prediction for a commit to version control... [more] | MSS2013-70 SS2013-67 pp.113-118 |
|
| SS | 2012-03-13 16:45 |
Okinawa | Tenbusu-Naha | An Empirical Study of Bug Prediction for Software Changes Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2011-72 |
To clarify the effects of bug prediction for software changes,this paper experimentally evaluates the performance of bug... [more] | SS2011-72 pp.91-96 |
| SS | 2010-03-08 15:20 |
Kagoshima | Kagoshima Univ. | Empirical Evaluation of Bug Density Prediction Model to Low Granularity Modules Yasutaka Kamei, Shinsuke Matsumoto, Akito Monden, Ken-ichi Matsumoto (NAIST) SS2009-72 |
To clarify the effects of bug module prediction on integration test,this paper experimentally evaluates the performance ... [more] | SS2009-72 pp.145-150 |
| R | 2005-05-27 15:20 |
Hyogo | Kobe Gakuin Univ. | Parameter Estimation for Trend-Curve-Based Software Reliability Models Hiroyuki Okamura, Hitoshi Furumura, Tadashi Dohi (Hiroshima Univ.) |
The regression model is one of the well-known methods to predict the cumulative number of faults detected in software de... [more] | R2005-13 pp.31-36 |
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