＜p＞＜strong＞Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.＜/strong＞＜/p＞ ＜p＞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.＜/p＞ ＜p＞The authors explore ways to enhance flexibility by:＜br /＞ ＜strong＞?＜/strong＞ Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces＜br /＞ ＜strong＞?＜/strong＞ Augmenting data with independent annotation layers, such as units of measurement or provenance＜br /＞ ＜strong＞?＜/strong＞ Combining independent pieces of partial information using unification or propagation＜br /＞ ＜strong＞?＜/strong＞ Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking＜br /＞ ＜strong＞?＜/strong＞ Extending the programming language, using dynamically extensible evaluators＜/p＞画面が切り替わりますので、しばらくお待ち下さい。

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