The rapid growth of applying Machine Learning (ML) in different domains, especially in
safety-critical areas, increases the need for reliable ML components, ie, a software …

The aim of Just-In-Time (JIT) defect prediction is to predict software changes that are prone
to defects in a project in a timely manner, thereby improving the efficiency of software …

Defects, or bugs, often form during software development. Identifying the root cause of
defects is essential to improve code quality, evaluate testing methods, and support defect …

Reviewing code changes allows stakeholders to improve the premise, content, and structure
of changes prior to or after integration. However, assigning reviewing tasks to team …

Purpose: Quantum computing promises to transform problem-solving across various
domains with rapid and practical solutions. Within Software Evolution and Maintenance …

Defect data is critical for software defect prediction. To collect defect data, it is essential to
establish links between bugs and their fixes. Missing links (ie low link rate) can cause false …

Context: Blocking bugs prevents other bugs from being fixed, which is difficult to repair and
negatively impacts software quality. During software maintenance, developers usually try to …

Code review is a critical step in software development, focusing on systematic source code
inspection. It identifies potential defects and enhances code quality, maintainability, and …