The science of science (SOS) is a rapidly develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Understanding software systems written by others is often challenging. When we want to
assess systems to reason about them, ie, to understand dependencies, analyze evolution …

Particle swarm optimization (PSO) is a nature-inspired algorithm that has shown outstanding
performance in solving many realistic problems. In the original PSO and most of its variants …

Due to the limited battery power of sensor nodes and harsh deployment environment, it is of
fundamental importance and a great challenge to achieve high energy efficiency and strong …

The microservice architecture is claimed to satisfy ongoing software development demands,
such as resilience, flexibility, and velocity. However, develo** applications based on …

This paper proposes a novel PSO algorithm, referred to as SFIPSO (Scale-free fully informed
particle swarm optimization). In the proposed algorithm a modified Barabási–Albert (BA) …

Statistical properties of un-weighted software networks have been extensively studied.
However, software networks in their nature should be weighted. Understanding the …

Since the great mathematician Leonhard Euler initiated the study of graph theory, the
network has been one of the most significant research subject in multidisciplinary. In recent …

Context Software networks are directed graphs of static dependencies between source code
entities (functions, classes, modules, etc.). These structures can be used to investigate the …

A modular attachment mechanism of software network evolution is presented in this paper.
Compared with the previous models, our treatment of object-oriented software system as a …