11 citations · 27 across the 14 of their papers we have counts for
18 papers
Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting
Ritika Rekhi, Bing Zhang, Md Arman Islam +7
As AI-assisted programming becomes increasingly mainstream, the environmental impact of AI-generated software has emerged as an important consideration. This motivates evaluating L…
Energy Consumption of Dataframe Libraries for End-to-End Deep Learning Pipelines:A Comparative Analysis
Punit Kumar, Asif Imran, Tevfik Kosar
This paper presents a detailed comparative analysis of the performance of three major Python data manipulation libraries - Pandas, Polars, and Dask - specifically when embedded wit…
Evaluating the Energy-Efficiency of the Code Generated by LLMs
Md Arman Islam, Devi Varaprasad Jonnala, Ritika Rekhi +5
As the quality of code generated by Large Language Models (LLMs) improves, their adoption in the software industry for automated code generation continues to grow. Researchers prim…
Qualitative analysis of the relationship between design smells and software engineering challenges
Asif Imran, Tevfik Kosar
Software design debt aims to elucidate the rectification attempts of the present design flaws and studies the influence of those to the cost and time of the software. Design smells…
URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud
Asif Imran, Tevfik Kosar
The low cost and rapid provisioning capabilities have made the cloud a desirable platform to launch complex scientific applications. However, resource utilization optimization is a…
Investigate how developers and managers view security design in software
Asif Imran
Software security requirements have been traditionally considered as a non-functional attribute of the software. However, as more software started to provide services online, exist…