CLPcriteria

CLPcriteria is a framework used in the field of constraint logic programming to describe, compare, and evaluate CLP systems. It comprises a set of criteria and metrics intended to capture both the theoretical and practical aspects of constraint programming languages and their implementations. The criteria are organized to reflect the typical lifecycle of a CLP system: language expressiveness, solver integration, correctness properties, performance, and usability.

Expressiveness assesses the range of constraints, data types, and programming constructs that a system can support, including the ability to declare domain constraints, custom propagators, and higher-order interactions. Solver integration examines how constraint solvers are embedded, including the communication protocol between the logic engine and solvers, incremental solving capabilities, and support for hybrid or chained solvers.

Correctness properties cover soundness (every computed solution is valid) and completeness or termination guarantees for certain problem classes. Performance and scalability focus on solving efficiency, memory usage, and behavior as problem size grows, often evaluated through benchmark suites. Usability and tooling address developer experience, such as debugging facilities, documentation, library ecosystems, and integration with other languages or systems.

Researchers and practitioners apply CLPcriteria by assembling problem benchmarks, performing theoretical analyses, and conducting empirical experiments. Results help compare CLP dialects and implementations, guide optimization efforts, and support decision making in language design. While there is no universal standard yet, CLPcriteria serves as a reference point for evaluating and communicating the capabilities and trade-offs of constraint logic programming systems.