Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Abstract Large Language Models (LLMs) for code have gained significant attention recently.
They can generate code in different programming languages based on provided prompts …

To address the issue of insufficient testing caused by the continuous reduction of software
development cycles, many organizations maintain bug repositories and bug tracking …

Bug reports facilitate software development teams in improving the quality of software.
These reports include significant information related to problems encountered within a …

When identifying the origin of software bugs, many studies assume that “a bug was
introduced by the lines of code that were modified to fix it”. However, this assumption does …

Assigning developers and allocating issue types are two important tasks in the bug triage
process. Existing approaches tackle these two tasks separately, which is time-consuming …

This paper introduces BEE, a tool that automatically analyzes user-written bug reports and
provides feedback to reporters and developers about the system's observed behavior (OB) …

Defects in infrastructure as code (IaC) scripts can have serious consequences, for example,
creating large-scale system outages. A taxonomy of IaC defects can be useful for …

In software development, the main problem is recognizing the security-oriented issues within
the reported bugs due to their unacceptable failure rate to provide satisfactory reliability on …