BRAIN PHYSIOLOGICAL CHARACTERISTIC ANALYSIS FOR SOFTWARE ANALYSIS SUPPORT ENVIRONMENTS

Mikio Ohki, Haruki Murase

Abstract

In the field of Industrial Engineering, a number of studies on the production process have been conducted to achieve higher quality and productivity through the ages. On the other hand, as for software development, no study has been conducted on the environment optimized for brain work from the viewpoints of personality, motivation, and procedures to improve quality and productivity, since brain work is not visible. However, recently, devices that can measure the activation state of brain in a practical work environment are available. This paper analyzes software analysis tasks from the viewpoint of brain physiology based on the measurement results attained from the experiments using such a device and discusses the fundamental issues and challenges to implement an ideal software analysis support environment.

References

  1. Martin Fowler., (1997),Analysis Patterns Reusable Object Models., Addison-Wesley
  2. Chandrasekaran, B & Johnson, T. R. (1993), Generic tasks and task structures: History, critique and new directions, Second Generation Expert Systems (pp.232-272). Berlin,Springer-Verlag.
  3. Atsushi Maki, Marcela Pena, Ghislaine DehaeneLambertz, Jacques Mehler, Hideaki Koizumi(2004), Brain-function measurement using near-infrared topography on neonates, Human Brain Mapping 2004
Download


Paper Citation


in Harvard Style

Ohki M. and Murase H. (2009). BRAIN PHYSIOLOGICAL CHARACTERISTIC ANALYSIS FOR SOFTWARE ANALYSIS SUPPORT ENVIRONMENTS . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8111-86-9, pages 329-337. DOI: 10.5220/0001864503290337


in Bibtex Style

@conference{iceis09,
author={Mikio Ohki and Haruki Murase},
title={BRAIN PHYSIOLOGICAL CHARACTERISTIC ANALYSIS FOR SOFTWARE ANALYSIS SUPPORT ENVIRONMENTS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2009},
pages={329-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001864503290337},
isbn={978-989-8111-86-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - BRAIN PHYSIOLOGICAL CHARACTERISTIC ANALYSIS FOR SOFTWARE ANALYSIS SUPPORT ENVIRONMENTS
SN - 978-989-8111-86-9
AU - Ohki M.
AU - Murase H.
PY - 2009
SP - 329
EP - 337
DO - 10.5220/0001864503290337