A Framework for Supporting the Iterative Design of CBR Applications. Jimenez-Diaz, G., Lenz, M., Malburg, L., Diaz-Agudo, B., & Bergmann, R. In Bichindaritz, I. & Lopez, B., editors, Case-Based Reasoning Research and Development - 33rd International Conference, ICCBR 2025, Biarritz, France, June 30 - July 3, 2025, Proceedings, of Lecture Notes in Computer Science, 2025. Springer.. Accepted for Publication.abstract bibtex Iterative design is a well-known methodology that involves prototyping, testing, analyzing, and refining products or processes. Rapid prototyping and evaluation are crucial, enabling designers to quickly identify and resolve issues and iteratively improve the design. However, effective iterative design relies on tools that accelerate both prototype creation and visual evaluation. This paper aims to address this challenge by presenting a framework specifically designed to enhance the iterative design process for CBR applications. In this context, we emphasize the manual and knowledge-intensive task of defining similarity measures. Furthermore, we introduce a proof-of-concept implementation of this framework based on the CBRkit toolkit and the SimViz visualization tool. We studied the capabilities to support the iterative design of CBR applications through a case study in the prototypical cars domain.*
@inproceedings{Jimenez-Diaz2025FrameworkSupportingIterative,
title = {A {{Framework}} for {{Supporting}} the {{Iterative Design}} of {{CBR Applications}}},
booktitle = {{Case-Based Reasoning Research and Development - 33rd International Conference, {ICCBR} 2025, Biarritz, France, June 30 - July 3, 2025, Proceedings}},
author = {{Jimenez-Diaz}, Guillermo and Lenz, Mirko and Malburg, Lukas and {Diaz-Agudo}, Belen and Bergmann, Ralph},
editor = {Bichindaritz, Isabelle and Lopez, Beatriz},
year = {2025},
series = {Lecture {{Notes}} in {{Computer Science}}},
publisher = {Springer.},
note = {{Accepted for Publication.}},
abstract = {Iterative design is a well-known methodology that involves prototyping, testing, analyzing, and refining products or processes. Rapid prototyping and evaluation are crucial, enabling designers to quickly identify and resolve issues and iteratively improve the design. However, effective iterative design relies on tools that accelerate both prototype creation and visual evaluation. This paper aims to address this challenge by presenting a framework specifically designed to enhance the iterative design process for CBR applications. In this context, we emphasize the manual and knowledge-intensive task of defining similarity measures. Furthermore, we introduce a proof-of-concept implementation of this framework based on the CBRkit toolkit and the SimViz visualization tool. We studied the capabilities to support the iterative design of CBR applications through a case study in the prototypical cars domain.*},
langid = {english}
}
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