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

Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

In presence of multiple objectives to be optimized in Search-Based Software Engineering
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …

Self-Adaptive Software (SAS) can reconfigure itself to adapt to the changing environment at
runtime, aiming to continually optimize conflicted nonfunctional objectives (eg, response …

Automatically tuning software configuration for optimizing a single performance attribute (eg,
minimizing latency) is not trivial, due to the nature of the configuration systems (eg, complex …

The time it takes software systems to be tested is usually long. Search-based test selection
has been a widely investigated technique to optimize the testing process. In this article, we …

In Software as a Service (SaaS) cloud marketplace, several functionally equivalent services
tend to be available with different Quality of Service (QoS) values. For processing end-users …

When we allow Unmanned Aerial Vehicles (UAVs) to perform their missions autonomously
in the near future, we need to ensure their safe behavior. To generate relevant test cases …

This paper introduces an enhanced meta-heuristic (ML-ACO) that combines machine
learning (ML) and ant colony optimization (ACO) to solve combinatorial optimization …

Given the ever-increasing complexity of adaptable software systems and their commonly
hidden internal information (eg, software runs in the public cloud), machine learning based …