{"id":"W3169794909","doi":"10.1109/icstw52544.2021.00040","title":"Test Sequence Generation with Cayley Graphs","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Test suite; Computer science; Sequence (biology); Graph; Theoretical computer science; Set (abstract data type); Metric (unit); Finite-state machine; Algorithm; Test case; Programming language; Engineering; Machine learning","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":[0.001447274,0.000748779,0.0005299117,0.001489249,0.0004179767,0.001023807,0.001546112,0.0006461426,0.002999407],"category_scores_gemma":[0.006564616,0.0004817827,0.001039492,0.001226729,0.001137466,0.001587653,0.0009232875,0.001288373,0.0005996295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235928,"about_ca_system_score_gemma":0.001396614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270657,"about_ca_topic_score_gemma":0.002905293,"domain_scores_codex":[0.9975088,0.0008414797,0.0001789578,0.000472323,0.0008291223,0.0001692746],"domain_scores_gemma":[0.9947677,0.003364565,0.0003985009,0.0007636507,0.0006017733,0.0001038871],"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":[0.0002562539,0.000161,0.002381031,0.000437956,0.00008315308,0.0006169369,0.000278696,0.4981937,0.03726623,0.1913993,0.004058164,0.2648675],"study_design_scores_gemma":[0.00005290759,0.0001655411,0.000260463,0.00004516131,0.00002411936,0.0002511213,0.0000395838,0.892869,0.02149992,0.08000647,0.004759865,0.00002583448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01108878,0.00006457001,0.9857817,0.0000804339,0.00001293567,0.0001158361,0.0001072988,0.001298435,0.001449998],"genre_scores_gemma":[0.2244109,0.0001665091,0.7723657,0.0001810234,0.00002692048,0.0003039977,0.0009417288,0.0004150271,0.001188205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002999407,"threshold_uncertainty_score":0.01003397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702509873227484,"score_gpt":0.2644447797892314,"score_spread":0.2174196810569565,"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."}}