89 citations · 222 across the 35 of their papers we have counts for
11 papers · 1 filter
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets
Gias Uddin, Yann-Gael Gueheneuc, Foutse Khomh +1
Sentiment analysis in software engineering (SE) has shown promise to analyze and support diverse development activities. We report the results of an empirical study that we conduct…
Reputation Gaming in Stack Overflow
Iren Mazloomzadeh, Gias Uddin, Foutse Khomh +1
Stack Overflow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. Th…
A Survey-Based Qualitative Study to Characterize Expectations of Software Developers from Five Stakeholders
Khalid Hasan, Partho Chakraborty, Rifat Shahriyar +2
Background: Studies on developer productivity and well-being find that the perceptions of productivity in a software team can be a socio-technical problem. Intuitively, problems an…
How do developers discuss and support new programming languages in technical Q&A site? An empirical study of Go, Swift, and Rust in Stack Overflow
Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal +1
New programming languages (e.g., Swift, Go, Rust, etc.) are being introduced to provide a better opportunity for the developers to make software development robust and easy. At the…
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md Abdullah Al Alamin, Gias Uddin
In the past decades, the revolutionary advances of Machine Learning (ML) have shown a rapid adoption of ML models into software systems of diverse types. Such Machine Learning Soft…
Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions
Gias Uddin
Internet of Things (IoT) is defined as the connection between places and physical objects (i.e., things) over the internet/network via smart computing devices. Traditionally, we le…