activity
20202025
most citedOn the Effectiveness of Pretrained Models for API Learning

10 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2025★ 4 cited

A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performances

Md Sabbir Ahmed, Rahat Jahangir Rony, Mohammad Abdul Hadi +2

Due to usage of self-reported data which may contain biasness, the existing studies may not unveil the exact relation between academic grades and app categories such as Video. Addi…

cs.SE2022★ 10 cited

On the Effectiveness of Pretrained Models for API Learning

Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung +4

Developers frequently use APIs to implement certain functionalities, such as parsing Excel Files, reading and writing text files line by line, etc. Developers can greatly benefit f…

cs.SE2021

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…

cs.SE2021★ 7 cited

Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews

Mohammad Abdul Hadi, Fatemeh H. Fard

Context: Mobile app reviews written by users on app stores or social media are significant resources for app developers.Analyzing app reviews have proved to be useful for many area…

cs.IR2020

AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis

Mohammad Abdul Hadi, Fatemeh H Fard

Analysis of mobile app reviews has shown its important role in requirement engineering, software maintenance and evolution of mobile apps. Mobile app developers check their users'…

cs.HC2020

Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections

Mohammad Abdul Hadi, Fatemeh H Fard, Irene Vrbik

Open data published by various organizations is intended to make the data available to the public. All over the world, numerous organizations maintain a considerable number of open…

cs.LG2020★ 1 cited

ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications

Mohammad Abdul Hadi, Fatemeh H Fard

Improving the energy efficiency of mobile applications is a topic that has gained a lot of attention recently. It has been addressed in a number of ways such as identifying energy…