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Constraint-Based Local Search
Finding diverse and similar solutions in constraint programming
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Constraint patterns and search procedures for CP-based random test generation
HVC'07 Proceedings of the 3rd international Haifa verification conference on Hardware and software: verification and testing
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Value-ordering heuristics: search performance vs. solution diversity
CP'10 Proceedings of the 16th international conference on Principles and practice of constraint programming
Functional test generation with distribution constraints
HVC'09 Proceedings of the 5th international Haifa verification conference on Hardware and software: verification and testing
Kangaroo: an efficient constraint-based local search system using lazy propagation
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
Soft constraints of difference and equality
Journal of Artificial Intelligence Research
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This paper considers the automatic generation of architectural tests (ATGP), a fundamental problem in processor validation. ATGPs are complex conditional constraint satisfaction problems which typically feature both hard and soft constraints and very large domains (e.g., all memory addresses). Moreover, the goal is to generate a large number of diverse solutions under tight runtime constraints. To improve solution diversity, this paper proposes a novel approach to ATGPs by modeling them as MaxDiversekSet problems and solving them with constraint-based local search over conditional variables. The paper presents the semantics and implementation of conditional variables in this context and demonstrates the computational benefits of the approach.