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 …

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

Conventional multiobjective optimization algorithms (MOEAs) with or without preferences
are successful in solving multi-and many-objective optimization problems. However, a …

Learning and predicting the performance of given software configurations are of high
importance to many software engineering activities. While configurable software systems will …

The ultimate goal of multiobjective optimization is to help a decision maker (DM) identify
solution (s) of interest (SOI) achieving satisfactory tradeoffs among multiple conflicting …

Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

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 …

Machine/deep learning models have been widely adopted for predicting the configuration
performance of software systems. However, a crucial yet unaddressed challenge is how to …

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 …

Security is unarguably the most serious concern for Web applications, to which SQL
injection (SQLi) attack is one of the most devastating attacks. Automatically testing SQLi …