Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
— As new versions of software are developed bugs inevitably arise either due to regression or new functionality. Challenges arise in discovering, managing, and testing the impact...
Kevin J. Hoffman, Murali Krishna Ramanathan, Patri...
Abstract. Algorithmic Skeletons offer high-level abstractions for parallel programming based on recurrent parallelism patterns. Patterns can be combined and nested into more comple...
Traversal strategies are at the heart of transformational programming with rewriting-based frameworks such as Stratego/XT or Tom and specific approaches for generic functional pr...
Abstract. Much progress has been made in terms of boosting the effectiveness of backtrack style search methods. In addition, during the last decade, a much better understanding of ...