{"id":"W2022887099","doi":"10.1145/1569901.1570123","title":"MC/DC automatic test input data generation","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Software quality; Computer science; Reliability engineering; Code coverage; Fitness function; Software; Random testing; Chaining; Test suite; Test data; Test case; Algorithm; Engineering; Software development; Machine learning; Software engineering; Genetic algorithm; 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":[0.0008663355,0.0006279842,0.0005634153,0.0008728348,0.0002890374,0.000571579,0.0007764472,0.0006551045,0.003773827],"category_scores_gemma":[0.004707807,0.0001688845,0.0003470588,0.0006848582,0.000386867,0.0004809549,0.0006734341,0.0004707481,0.000592022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183798,"about_ca_system_score_gemma":0.0006979463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685324,"about_ca_topic_score_gemma":0.001091924,"domain_scores_codex":[0.9991494,0.0002107079,0.00005670202,0.0001588654,0.0003316574,0.00009254236],"domain_scores_gemma":[0.9971408,0.001420914,0.0001718672,0.0005126263,0.0006693477,0.00008448204],"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":[0.0005474936,0.0002370818,0.006078293,0.0002148158,0.00004909646,0.0004665015,0.000141455,0.2552996,0.05905795,0.01418583,0.005158432,0.6585636],"study_design_scores_gemma":[0.00004245685,0.0001269838,0.0009896894,0.00001444026,0.00001502489,0.0002396163,0.00001332523,0.9560868,0.0356042,0.003692951,0.003161698,0.00001279614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1331686,0.0001965151,0.8555294,0.0001668225,0.00005746968,0.0002655737,0.0002530552,0.004350037,0.006012536],"genre_scores_gemma":[0.7367501,0.00006607958,0.2582591,0.0001575231,0.00002462711,0.0002879359,0.0007908634,0.0003169501,0.003346962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003773827,"threshold_uncertainty_score":0.01262474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07731818523370544,"score_gpt":0.3088692856090884,"score_spread":0.231551100375383,"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."}}