activity
20212024
most citedDocCGen: Document-based Controlled Code Generation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024

Enabling Communication via APIs for Mainframe Applications

Vini Kanvar, Srikanth Tamilselvam, Keerthi Narayan Raghunath

For decades, mainframe systems have been vital in enterprise computing, supporting essential applications across industries like banking, retail, and healthcare. To harness these l…

cs.SE20241 cited

DocCGen: Document-based Controlled Code Generation

Sameer Pimparkhede, Mehant Kammakomati, Srikanth Tamilselvam +3

Recent developments show that Large Language Models (LLMs) produce state-of-the-art performance on natural language (NL) to code generation for resource-rich general-purpose langua…

cs.CL2024

Read between the lines -- Functionality Extraction From READMEs

Prince Kumar, Srikanth Tamilselvam, Dinesh Garg

While text summarization is a well-known NLP task, in this paper, we introduce a novel and useful variant of it called functionality extraction from Git README files. Though this t…

cs.SE2023

Handling Communication via APIs for Microservices

Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam

Enterprises in their journey to the cloud, want to decompose their monolith applications into microservices to maximize cloud benefits. Current research focuses a lot on how to par…

cs.SE2021

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai +1

Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice…