You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.
The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.
For the reports in this repository we specifically note that
- the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
- the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
- technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
- in other cases, please contact the copyright owner for detailed information
By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.
If you are in doubt, feel free to contact webmaster@ide.mdh.se
LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance
Publication Type:
Conference/Workshop Paper
Venue:
4th International Workshop of Model-Driven Engineering for Software Architecture
Abstract
Software architectures are fundamental to the development, evolution, and quality of software-intensive systems. Architectures rarely exist in isolation, but instead adhere to overarching structures such as architectural patterns and styles, frameworks, software product line architectures, and reference architectures. To fully leverage the benefits of these structures, conformance between them is essential, enhancing interoperability, reducing costs through reusability, mitigating project risks, and facilitating the adoption of best practices.
In our previous work, we introduced the concept of continuous conformance and focused on detecting architectural violations using a model-driven engineering approach.In this paper, we extend our previous work by proposing a large language model-based recommender system into the model-driven tool to suggest resolutions for architectural violations. Leveraging large language models, we reduce the accidental complexity of model-driven techniques by combining the reasoning capabilities of large language models with the formalization of architectures as (meta)models.
We evaluate the success rate using two large language models and architectures from the IoT domain, including one reference architecture and four software architectures that we manually mutate in 16 faulty architectures. The results demonstrate the system's effectiveness in providing intelligent, context-aware recommendations for restoring architectural conformance.
Bibtex
@inproceedings{Rubei7131,
author = {Riccardo Rubei and Amleto Di Salle and Alessio Bucaioni},
title = {LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance},
month = {March},
year = {2025},
booktitle = {4th International Workshop of Model-Driven Engineering for Software Architecture },
url = {http://www.ipr.mdu.se/publications/7131-}
}