most citedComprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

30 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025★ 1 cited

The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions

Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur +3

GitHub Copilot is transforming software development by automating tasks and boosting productivity through AI driven code generation. In this paper, we conduct a literature survey t…

eess.IV2025

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images

Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur +4

Pneumonia is a leading cause of illness and death in children, underscoring the need for early and accurate detection. In this study, we propose a novel lightweight ensemble model…

cs.LG2025

UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices

Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur +4

Lightweight deep learning approaches for malaria detection have gained attention for their potential to enhance diagnostics in resource constrained environments. For our study, we…

eess.IV2025

A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur +4

Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This study proposes a novel hybrid deep learning model for detecting COVID-19 from CT sca…

cs.SE2024★ 30 cited

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

Shanthi Karpurapu, Sravanthy Myneni, Unnati Nettur +4

Behavior-driven development (BDD) is an Agile testing methodology fostering collaboration among developers, QA analysts, and stakeholders. In this manuscript, we propose a novel ap…