Project management planning and assessment are of great significance in project
performance activities. Without a realistic and logical plan, it isn't easy to handle project …

Context: To find the best sequence of refactorings to be applied in a software artifact is an
optimization problem that can be solved using search techniques, in the field called Search …

Over the last two decades, there has been an important increase in studies dealing with the
software development effort estimation (SDEE) using machine learning (ML) techniques that …

Automatic pattern recognition from videos is a high-complexity task, and well-established
Machine Learning algorithms have difficulties in handling it in an efficient and effective …

Explainability is essential for users to effectively understand, trust, and manage powerful
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …

Context: In recent years, leveraging machine learning (ML) techniques has become one of
the main solutions to tackle many software engineering (SE) tasks, in research studies …

Cyber security in the context of big data is known to be a critical problem and presents a
great challenge to the research community. Machine learning algorithms have been …

Multi-objective evolutionary algorithms (MOEAs) have been efficiently applied to Search-
Based Software Engineering (SBSE) problems. However, skilled software engineers waste …

The Feature Model (FM) is a fundamental artifact of the Software Product Line (SPL)
engineering. It represents all SPL variabilities and commonalities and is generally used to …

Search techniques have been successfully applied for solving different software testing
problems. However, choosing, implementing and configuring a search technique can be …