most citedTests of General Relativity with GWTC-3

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cs.SE2026

On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment

Zhinuan Guo, Chushu Gao, Justus Bogner

The rising energy demands of machine learning (ML), e.g., implemented in popular variants like retrieval-augmented generation (RAG) systems, have raised significant concerns about…

cs.SE2026

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?

Pelin Rabia Kuran, Rumbidzai Chitakunye, Vincenzo Stoico +2

The rapid adoption of large language models (LLMs) has raised concerns about their substantial energy consumption, especially when deployed at industry scale. While several techniq…

cs.SE2025

ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column

Justus Bogner, Roberto Verdecchia

From its early foundations in the 1970s, empirical software engineering (ESE) has evolved into a mature research discipline that embraces a plethora of different topics, methodolog…

cs.SE20251 cited

On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs

Xingwen Xiao, Chushu Gao, Justus Bogner

Context: Microservice-based systems have established themselves in the software industry. However, sustainability-related legislation and the growing costs of energy-hungry softwar…

cs.SE20251 cited

How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment

Yiming Zhao, Tiziano De Matteis, Justus Bogner

Context: Microservice architectures are a widely used software deployment approach, with benefits regarding flexibility and scalability. However, their impact on energy consumption…