Software Design for Flexibility

- Blurb -

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by- . Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces . Augmenting data with independent annotation layers, such as units of measurement or provenance . Combining independent pieces of partial information using unification or propagation . Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking . Extending the programming language, using dynamically extensible evaluators