Exabytes of data are generated daily by humans, leading to the growing needs for new
efforts in dealing with the grand challenges for multi-label learning brought by big data. For …

Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …

Multi-label learning is a class of machine learning algorithms that study the classification
problem of data associated with multiple labels simultaneously. Ensemble-based method is …

Popular mobile applications receive millions of user reviews. These reviews contain relevant
information for software maintenance, such as bug reports and improvement suggestions …

Context: Nowadays, mobile applications (or apps) have become vital in our daily life,
particularly within education. Many institutions increasingly rely on mobile apps to provide …

Context Automatic classification of mobile applications users' feedback is studied for
different areas of software engineering. However, supervised classification requires a lot of …

Mobile application developers rely largely on user reviews for identifying issues in mobile
applications and meeting the users' expectations. User reviews are unstructured …

Commit messages are used in the industry by developers to annotate changes made to the
code. Accurate classification of these messages can help monitor the software evolution …

The rapid and wide proliferation of mobile phones has led to accelerated demand for mobile
applications (apps). Consequently, a large number of mobile apps have been developed …