8 citations · 9 across the 6 of their papers we have counts for
6 papers
An Analysis of Automated Use Case Component Extraction from Scenarios using ChatGPT
Pragyan KC, Rocky Slavin, Sepideh Ghanavati +2
Mobile applications (apps) are often developed by only a small number of developers with limited resources, especially in the early years of the app's development. In this setting,…
Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities
Pragyan KC, Rambod Ghandiparsi, Rocky Slavin +3
The widespread use of mobile applications has driven the growth of the industry, with companies relying heavily on user data for services like targeted advertising and personalized…
Requirements Satisfiability with In-Context Learning
Sarah Santos, Travis Breaux, Thomas Norton +2
Language models that can learn a task at inference time, called in-context learning (ICL), show increasing promise in natural language inference tasks. In ICL, a model user constru…
Towards Fine-Grained Localization of Privacy Behaviors
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti +1
Mobile applications are required to give privacy notices to users when they collect or share personal information. Creating consistent and concise privacy notices can be a challeng…
A Language Model of Java Methods with Train/Test Deduplication
Chia-Yi Su, Aakash Bansal, Vijayanta Jain +2
This tool demonstration presents a research toolkit for a language model of Java source code. The target audience includes researchers studying problems at the granularity level of…
PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions
Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati +1
Mobile applications are required to give privacy notices to the users when they collect or share personal information. Creating consistent and concise privacy notices can be a chal…