1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models
Sayem Mohammad Imtiaz, Astha Singh, Fraol Batole +1
Not a day goes by without hearing about the impressive feats of large language models (LLMs), and equally, not a day passes without hearing about their challenges. LLMs are notorio…
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
Abhiram Bellur, Fraol Batole, Mohammed Raihan Ullah +12
MOVEMETHOD is a hallmark refactoring. Despite a plethora of research tools that recommend which methods to move and where, these recommendations do not align with how expert develo…
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning
Ruchira Manke, Mohammad Wardat, Foutse Khomh +1
While deep learning (DL) has permeated, and become an integral component of many critical software systems, today software engineering research hasn't explored how to separately te…