{"id":"W1971159340","doi":"10.1145/2534397","title":"Test compaction techniques for assertion-based test generation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Assertion; Computer science; Compaction; Test (biology); Automatic test pattern generation; Path (computing); Scheme (mathematics); Reduction (mathematics); Test case; Cluster analysis; Algorithm; Programming language; Artificial intelligence; Machine learning; Mathematics","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":[0.002269984,0.0009485151,0.0006675527,0.001863379,0.0003991359,0.0008629145,0.001420195,0.0007075138,0.004308444],"category_scores_gemma":[0.01547809,0.0005327338,0.00079745,0.00147929,0.0009236544,0.00148438,0.001255003,0.000971409,0.001064297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005710263,"about_ca_system_score_gemma":0.0006038521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008395296,"about_ca_topic_score_gemma":0.0009759738,"domain_scores_codex":[0.9960771,0.001319303,0.0004167866,0.0004074547,0.001578538,0.0002007672],"domain_scores_gemma":[0.9829141,0.01008999,0.001705447,0.00346316,0.001675047,0.0001521645],"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":[0.0009110226,0.0003498535,0.003706828,0.0007187728,0.0001497975,0.001183259,0.0007617172,0.1252673,0.1531346,0.04462459,0.005335247,0.663857],"study_design_scores_gemma":[0.0002135444,0.0007840932,0.002456336,0.0001548802,0.0001662358,0.001298505,0.000155206,0.7704379,0.1785355,0.03115855,0.01456015,0.00007904129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01343465,0.0001395729,0.98122,0.00007022286,0.0000237223,0.0001388522,0.0001020765,0.003998903,0.0008719038],"genre_scores_gemma":[0.3238077,0.0001963193,0.672349,0.0001856687,0.0000526939,0.0004162709,0.0006675885,0.0008990944,0.001425684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004308444,"threshold_uncertainty_score":0.01441312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796342581928601,"score_gpt":0.272911710833078,"score_spread":0.234948285013792,"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."}}