Refactoring a software artifact is an embedded task in the maintenance phase of the
software life cycle. To reduce the time and effort required for this task, researchers proposed …

With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Software maintainability predicts changes or failures that may occur in software after it has
been deployed. Since it deals with the degree to which an application may be understood …

Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …

Spiking neural network (SNN) based on sparse triggering and event-driven is a hardware-
friendly model. SNN can provide an ultra-low power alternative for the deep neural network …

The advent of complex Cyber–Physical Systems (CPSs) creates the need for more efficient
engineering processes. Recently, DevOps promoted the idea of considering a closer …

Context: Code smells are sub-optimal design choices that could lower software
maintainability. Objective: Previous literature did not consider an important characteristic of …

In this paper, we study big data-driven Cyber–Physical Systems (CPS) through cloud
platforms and design scheduling optimization algorithms to improve the efficiency of the …

Previous studies have shown that software traceability, the ability to link together related
artifacts from different sources within a project (eg, source code, use cases, documentation …

Modeling complex physical processes such as the extraction of aluminum is mainly done
using pure physics-based models derived from first principles. However, the accuracy of …