Challenges in Creating Effective Automated Design Environments-Reference-Cited by-同舟云学术

Challenges in Creating Effective Automated Design Environments

Published:2024-04-15 Issue: Volume:65 Page:15-20
ISSN:
Container-title:Proceedings of the 1st International Workshop on Designing Software
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Author:

Garlan David¹^ORCID,Schmerl Bradley²^ORCID,Wohlrab Rebekka³^ORCID,Cámara Javier⁴^ORCID

Affiliation:

1. Software and Societal Systems Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

2. Software and Societal Systems Department, Carnegie Mellon University, Pittsburgh, PA, USA

3. Chalmers University of Technology, Gothenburg, Sweden

4. University of Málaga, Málaga, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643660.3643949

Reference18 articles.

1. Model-based performance prediction in software development: a survey

2. Leo Breiman, Jerome H Friedman, Richard A Olshen, and Charles J Stone. 2017. Classification and regression trees. Routledge.

3. Javier Cámara, Mariana Silva, David Garlan, and Bradley R. Schmerl. 2021. Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach. In Software Architecture - 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021 (LNCS, Vol. 12857). Springer, 49--65.

4. ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction

5. Hongrui Chen Aditya Joglekar and Levent Burak Kara. 2023. Topology Optimization Using Neural Networks With Conditioning Field Initialization for Improved Efficiency (International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Vol. Volume 3A: 49th Design Automation Conference (DAC)). 10.1115/DETC2023-116937