{"id":"W2202321577","doi":"10.1007/978-3-642-28891-3_6","title":"Symbolic Execution of Communicating and Hierarchically Composed UML-RT State Machines","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Reachability; Unified Modeling Language; Modular design; Programming language; Reuse; Symbolic execution; Finite-state machine; State (computer science); Theoretical computer science; Software","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":[0.001041089,0.000731646,0.000595897,0.0005320528,0.0007502554,0.001169402,0.001491191,0.000872284,0.006207793],"category_scores_gemma":[0.004890731,0.000661939,0.0009033577,0.0005322333,0.001673824,0.001400207,0.001410011,0.001001004,0.0006691907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027332,"about_ca_system_score_gemma":0.001317654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004511107,"about_ca_topic_score_gemma":0.00653034,"domain_scores_codex":[0.9984835,0.0005375152,0.00007869839,0.000181077,0.0005422792,0.0001769855],"domain_scores_gemma":[0.9969785,0.002157666,0.0002064182,0.0003541507,0.0002371562,0.00006618634],"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":[0.0005132812,0.0001467438,0.001757617,0.0004617599,0.00008621132,0.0008407213,0.001310588,0.6778632,0.04044615,0.1783302,0.001835527,0.09640798],"study_design_scores_gemma":[0.0000463154,0.00005503343,0.0002400367,0.0000398087,0.00003568333,0.00006104171,0.00005731424,0.9377686,0.02131949,0.03775548,0.002602964,0.00001824589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08436523,0.0001242326,0.900416,0.0001169341,0.00004452942,0.00009582665,0.0001761067,0.005509231,0.009151765],"genre_scores_gemma":[0.6703657,0.0001187487,0.323868,0.00004045064,0.00001533584,0.0001284281,0.000374136,0.0005771901,0.004511993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006207793,"threshold_uncertainty_score":0.02076715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197488072249664,"score_gpt":0.2626622974765419,"score_spread":0.2429134902515755,"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."}}