We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Automatically localizing software bugs to the changesets that induced them has the potential
to improve software developer efficiency and to positively affect software quality. To facilitate …

Modern software development involves multiple developers working remotely in a
distributed manner around the world. Software bugs are continuously generated for multiple …

Software development is a modular approach involving multiple developers and multi-
tasking teams working at different locations. A particular term in a software bug can belong …

In order to improve software reliability and quality, the triager must assess the severity of the
software bug and allocate suitable resources on time. However, the triager faces many …

Software repositories contain large amounts of textual data, ranging from source code
comments and issue descriptions to questions, answers, and comments on Stack Overflow …

In modern times, the software industry is more focused on the timely release of high-quality
software. Software bugs have a significant impact on software quality and reliability. To …

Topic modeling is a machine learning algorithm based on statistics that follows
unsupervised machine learning techniques for mapping a high-dimensional corpus to a low …

Mainframe systems are facing a critical shortage of developer workforce as the current
generation of COBOL developers retires. Furthermore, due to the limited availability of public …

The development of robotic applications necessitates the availability of useful, adaptable,
and accessible programming frameworks. Robotic, IoT, and sensor-based systems open up …