Engineering minerals for performance applications: an industrial perspective

Editorial: Neurotechnology: An Engineering Perspective

Applications of Racing Algorithms: An Industrial Perspective

Stochastic local search (SLS) methods like evolutionary algorithms, ant colony optimisation or iterated local search receive an ever increasing attention for the solution of highly application relevant optimisation problems. Despite their noteworthy successes, several issues still hinder their even wider spread. One central issue is the configuration and parameterisation of SLS methods, which i...

Looking for the AI in Software Engineering: An Applications Perspective

What is a smart application component? The noun “component” implies that it is a software module or procedure that will be attached to or embedded in another, larger piece of software. Consequently, the component plays a supporting role and must conform to the environment in which it is embedded. The adjective “smart” implies that the component is able to perform some decision task, or particip...

Performance Metrics for Intelligent Systems An Engineering Perspective

This paper provides a general discussion on performance metrics for intelligent systems drawing largely on our experience with engineering applications. The experience has led us to view machine intelligence as a type of machinefacilitated human intelligence. This view implies that the locus of machine intelligence is to be found in relations amongst humans vis a vis the machine (in the subject...

Performance Engineering for Enterprise Applications

When developing large software systems it is hard to predict their performance behavior at early development stages. This paper presents an engineering methodology for performance prediction based on high-level application architectures that are simulated within the real infrastructure setup. This methodology is realized in a performance simulation framework. Our results show that a software sy...