Context: Software defect prediction is crucial for prioritising quality assurance tasks,
however, there are still limitations to the use of defect models. For example, the outputs often …

Emotion recognition is a fundamental aspect of human communication and plays a crucial
role in various domains. This project aims at develo** an efficient model for real-time …

Context Representing the textual semantics of bug reports is a key component of bug report
management (BRM) techniques. Existing studies mainly use classical information retrieval …

The automatic categorization of crime news is useful to create statistics on the type of crimes
occurring in a certain area. This assignment can be treated as a text categorization problem …

Softwares are involved in all aspects of healthcare, such as booking appointments to
software systems that are used for treatment and care of patients. Many vendors and …

Context: Software defect prediction (SDP) is a prominent research area focussed on
anticipating defects early in the software lifecycle. Traditional machine learning models are …

Software defect prediction (SDP) and software defect severity prediction (SDSP) models
alleviate the burden on the testers by providing the automatic assessment of a newly …

Sentiment Analysis in the Software Engineering community aims to make the development
and maintenance of software a better experience by hel** provide code and library …

In a critical software system, the testers have to spend an enormous amount of time and
effort to maintain the software due to the continuous occurrence of defects. Among such …

The process of software defect prediction (SDP) involves predicting which software system
modules or components pose the highest risk of being defective. The projections and …