Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

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 …

Multiobjective optimization problems are ubiquitous in real-world science, engineering, and
design optimization problems. It is not uncommon that the objective functions are as a black …

Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …

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 …

Many real-world problems are computationally costly and the objective functions evolve over
time. Data-driven, aka surrogate-assisted, evolutionary optimization has been recognized as …

Cross-project defect prediction (CPDP) refers to recognizing defective software modules in
one project (ie, target) using historical data collected from other projects (ie, source), which …

In practical multicriterion decision making, it is cumbersome if a decision maker (DM) is
asked to choose among a set of tradeoff alternatives covering the whole Pareto-optimal …

When tuning software configuration for better performance (eg, latency or throughput), an
important issue that many optimizers face is the presence of local optimum traps …