1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2026
Towards Green AI: Decoding the Energy of LLM Inference in Software Development
Lola Solovyeva, Fernando Castor
Context: AI-assisted tools are increasingly integrated into software development workflows, but their reliance on large language models (LLMs) introduces substantial computational…
cs.SE2025
Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
Lola Solovyeva, Eduardo Carneiro Oliveira, Shiyu Fan +3
The VT legacy system, comprising approximately 2.5 million lines of PL/SQL code, lacks consistent documentation and automated tests, posing significant challenges for refactoring a…
cs.SE2025★ 1 cited
AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code
Lola Solovyeva, Sophie Weidmann, Fernando Castor
Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the…