28 papers
Watts and Debts of Agentic Frameworks: An Empirical Study (Registered Report)
Aneetta Sara Shany, Chandrasekar S, Karthik Vaidhyanathan
Context: Every agentic AI system shipped to production carries two hidden risks: accumulated Technical Debt (TD) and unmonitored runtime energy costs. While functional benchmarking…
EnCoDe: Energy Estimation of Source Code At Design-Time
Shailender Goyal, Akhila Matathammal, Karthik Vaidhyanathan
Energy efficiency has emerged as a vital attribute of software quality, with significant implications for both environmental sustainability and operational costs. However, existing…
Dissecting Transformers: A CLEAR Perspective towards Green AI
Hemang Jain, Shailender Goyal, Divyansh Pandey +1
The rapid adoption of Large Language Models (LLMs) has raised significant environmental concerns. Unlike the one-time cost of training, LLM inference occurs continuously and domina…
LLM-based Automated Architecture View Generation: Where Are We Now?
Miryala Sathvika, Rudra Dhar, Karthik Vaidhyanathan
Architecture views are essential for software architecture documentation, yet their manual creation is labor intensive and often leads to outdated artifacts. As systems grow in com…
ArchBench: Benchmarking Generative-AI for Software Architecture Tasks
Bassam Adnan, Aviral Gupta, Sreemaee Akshathala +1
Benchmarks for large language models (LLMs) have progressed from snippet-level function generation to repository-level issue resolution, yet they overwhelmingly target implementati…
Can AI Agents Generate Microservices? How Far are We?
Bassam Adnan, Matteo Esposito, Davide Taibi +1
LLMs have advanced code generation, but their use for generating microservices with explicit dependencies and API contracts remains understudied. We examine whether AI agents can g…