Case-Method: A Methodology for Building Large-Scale Case-Based Systems
Abstract
Developing large-scale systems are major efforts which require careful planning and solid methodological foundations. This paper describes CASE-METHOD, the methodology for building large-scale case-based systems. CASEMETHOD defines the procedure which managers, engineers, and domain experts should follow in developing case-based systems, and provides a set of supporting tools. An empirical study shows that the use of CASE-METHOD attains significant workload reduction in system development and maintenance (more than 1/12) as well as qualitative change in corporate activities.
Cite
Text
Kitano et al. "Case-Method: A Methodology for Building Large-Scale Case-Based Systems." AAAI Conference on Artificial Intelligence, 1993.Markdown
[Kitano et al. "Case-Method: A Methodology for Building Large-Scale Case-Based Systems." AAAI Conference on Artificial Intelligence, 1993.](https://mlanthology.org/aaai/1993/kitano1993aaai-case/)BibTeX
@inproceedings{kitano1993aaai-case,
title = {{Case-Method: A Methodology for Building Large-Scale Case-Based Systems}},
author = {Kitano, Hiroaki and Shimazu, Hideo and Shibata, Akihiro},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1993},
pages = {303-308},
url = {https://mlanthology.org/aaai/1993/kitano1993aaai-case/}
}