Usability Evaluation for Software Keyboard on High-Performance Mobile Devices. - Takao Nakagawa; Hidetake Uwano (HCI (22), 2011)

Task Classification with Chronological Action History for PSP Support. - Ryouta Ohashi; Hidetake Uwano; Takao Nakagawa (SNPD, 2012)

Quantifying programmers' mental workload during program comprehension based on cerebral blood flow measurement: a controlled experiment. - Takao Nakagawa; Yasutaka Kamei; Hidetake Uwano; Akito Monden; Ken-ichi Matsumoto; Daniel M. Germán (ICSE Companion, 2014)

Inappropriate Usage Examples in Web API Documentations. - Masaki Hosono; Susumu Tokumoto; Supasit Monpratarnchai; Hironori Washizaki; Kiyoshi Honda; Hiromasa Nagumo; Hisanobu Sonoda; Yoshiaki Fukazawa; Kazuki Munakata; Takao Nakagawa; Yusuke Nemoto (ICSME, 2019)

Applying Modified Code Entity-Based Regression Test Selection for Manual End-to-End Testing of Commercial Web Applications. - Takao Nakagawa; Kazuki Munakata; Koji Yamamoto 002 (ISSRE Workshops, 2019)

Call Sequence List Distiller for Practical Stateful API Testing. - Koji Yamamoto 002; Takao Nakagawa; Shogo Tokui; Kazuki Munakata (SEKE, 2020)

Qunomon: A FAIR testbed of quality evaluation for machine learning models. - Kenichiro Narita; Michitaka Akita; Kyoung-Sook Kim 001; Yuta Iwase; Yuichi Watanaka; Takao Nakagawa; Qiang Zhong (APSEC Workshops, 2021)

How Provenance helps Quality Assurance Activities in AI/ML Systems. - Takao Nakagawa; Kenichiro Narita; Kyoung-Sook Kim 001 (AIMLSystems, 2022)

NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History. - Shogo Tokui; Susumu Tokumoto; Akihito Yoshii; Fuyuki Ishikawa; Takao Nakagawa; Kazuki Munakata; Shinji Kikuchi (SANER, 2022)

An Experience Report on Regression-Free Repair of Deep Neural Network Model. - Takao Nakagawa; Susumu Tokumoto; Shogo Tokui; Fuyuki Ishikawa (SANER, 2023)

Development of Automated Software Design Document Review Methods Using Large Language Models. - Takasaburo Fukuda; Takao Nakagawa; Keisuke Miyazaki; Susumu Tokumoto (SANER, 2025)