2 citations · 2 across the 5 of their papers we have counts for
7 papers
Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering
Iman Saberi, Fatemeh Fard, Fuxiang Chen
Software Engineering (SE) Pre-trained Language Models (PLMs), such as CodeBERT, are pre-trained on large code corpora, and their learned knowledge has shown success in transferring…
AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models
Iman Saberi, Amirreza Esmaeili, Fatemeh Fard +1
Programming languages can benefit from one another by utilizing a pre-trained model for software engineering tasks such as code summarization and method name prediction. While full…
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
Ramin Shahbazi, Fatemeh Fard
Code comments are significantly helpful in comprehending software programs and also aid developers to save a great deal of time in software maintenance. Code comment generation aim…
An Exploratory Study on Code Attention in BERT
Rishab Sharma, Fuxiang Chen, Fatemeh Fard +1
Many recent models in software engineering introduced deep neural models based on the Transformer architecture or use transformer-based Pre-trained Language Models (PLM) trained on…
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Rishab Sharma, Fuxiang Chen, Fatemeh Fard
Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple wa…
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
Kien Luong, Mohammad Hadi, Ferdian Thung +2
Collecting API examples, usages, and mentions relevant to a specific API method over discussions on venues such as Stack Overflow is not a trivial problem. It requires efforts to c…