Identifying security bug reports (SBRs) accurately from a bug repository can reduce a
software product's security risk. However, the class imbalance problem exists for SBR …

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 …

Abstract Machine learning-based Vulnerability detection is an active research topic in
software security. Different traditional machine learning-based and deep learning-based …

The detection of performance bugs, like those causing an unexpected execution time, has
gained much attention in the last years due to their potential impact in safety-critical and …

Context: Accurate classification of bugs can help accelerate the bug triage process, code
inspection, and repair activities. In this context, many machine learning techniques have …

Identifying SBRs (security bug reports) is crucial for eliminating security issues during
software development. Machine learning are promising ways for SBR prediction. However …

In infrastructure as code (IaC), state reconciliation is the process of querying and comparing
the infrastructure state prior to changing the infrastructure. As state reconciliation is pivotal to …

Software bugs pose significant challenges in management. The Bug Tracking System (BTS)
serves as a standard platform to chronicle, oversee, and manage bugs throughout software …

Cloud computing systems fail in complex and unforeseen ways due to unexpected
combinations of events and interactions among hardware and software components. These …

Modern software systems are composed of several loosely coupled components. Typical
examples of such systems are plugin-based systems, microservices, and modular software …