Design patterns in performance prediction

Abstract

The use of design patterns in object-oriented software development is recommended to improve both the software structure and the development process. On the other hand, their effect on the performance of the final product may greatly depend on the particular application and the projected workload. In addition to intentional use, the design may also contain patterns (and anti-patterns) that have not been used on purpose. We propose an approach where all patterns and anti-patterns embedded in the design are discovered by a mining tool and their performance effects are evaluated using previous experience stored in a pattern library.