{"id":"W2119042529","doi":"10.1109/iscis.2009.5291883","title":"Using a SAT solver to generate checking sequences","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Model checking; Sequence (biology); Boolean satisfiability problem; Computer science; Solver; Finite-state machine; Satisfiability modulo theories; Set (abstract data type); Algorithm; Theoretical computer science; Abstraction model checking; Automaton; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338422,0.001177734,0.0005412924,0.001254238,0.0005623689,0.0008365386,0.001112666,0.0009477563,0.008548666],"category_scores_gemma":[0.006798356,0.0005952476,0.001031937,0.001095235,0.0009245257,0.001356105,0.0007462918,0.001347307,0.001191902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007409836,"about_ca_system_score_gemma":0.001767481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002455008,"about_ca_topic_score_gemma":0.004726648,"domain_scores_codex":[0.9988654,0.0004323694,0.00008660788,0.0002215131,0.0003225354,0.00007161882],"domain_scores_gemma":[0.9942102,0.004828153,0.0002206723,0.0002870339,0.00039885,0.00005509863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003411058,0.0004400644,0.002089387,0.0008979368,0.0001370604,0.0008582886,0.0004288802,0.4215091,0.02198159,0.1483997,0.0118655,0.3910513],"study_design_scores_gemma":[0.0001920685,0.000171635,0.0001853379,0.00007147425,0.00005421629,0.0002304747,0.00009079729,0.9007817,0.02052432,0.06731776,0.01035743,0.00002283243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01324522,0.00005845718,0.9792706,0.0003153719,0.00004486301,0.0002584523,0.000341693,0.002249465,0.004215832],"genre_scores_gemma":[0.06480142,0.00007983593,0.9322905,0.0001286913,0.00001604395,0.0002604618,0.0008042522,0.0002433302,0.001375423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008548666,"threshold_uncertainty_score":0.02859819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09517591476434714,"score_gpt":0.3385833682943744,"score_spread":0.2434074535300273,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}