{"id":"W6948256836","doi":"10.48550/arxiv.1403.7261","title":"Generating Complete and Finite Test Suite for ioco: Is It Possible?","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Nondeterministic algorithm; Test suite; Conformance testing; Model-based testing; Relation (database); Construct (python library); Domain (mathematical analysis); Test case","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":[0.005008854,0.0008170007,0.001188505,0.001203384,0.0004544129,0.001376886,0.001451891,0.001401572,0.001808933],"category_scores_gemma":[0.03332114,0.0004509772,0.001462333,0.0007245961,0.002484726,0.002687516,0.001800067,0.001573461,0.0004427071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006180303,"about_ca_system_score_gemma":0.001463446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003715365,"about_ca_topic_score_gemma":0.0004829252,"domain_scores_codex":[0.9941905,0.002463906,0.0003576149,0.0007922465,0.001739141,0.0004567876],"domain_scores_gemma":[0.9640597,0.02593634,0.001470835,0.006020791,0.001954408,0.0005579269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009141025,0.0005912881,0.01769981,0.001469087,0.0002890132,0.001758839,0.001419172,0.2155317,0.07516966,0.2546347,0.003657463,0.426865],"study_design_scores_gemma":[0.0001741978,0.0007841222,0.002413305,0.0002722276,0.0001324417,0.001387782,0.0002509149,0.6469577,0.06764437,0.2726909,0.007214103,0.00007797094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04927367,0.0001764093,0.9472348,0.0004014772,0.00002609343,0.0001234707,0.0001135674,0.001261422,0.001389146],"genre_scores_gemma":[0.5563993,0.0002306225,0.4405938,0.0002022836,0.00005648497,0.0004157098,0.0007629138,0.0004418473,0.0008969575],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005008854,"threshold_uncertainty_score":0.02648962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239338824953261,"score_gpt":0.224480500453505,"score_spread":0.1005466179581788,"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."}}