{"id":"W4251245562","doi":"10.1002/stvr.396","title":"Transition covering tests for systems with queues","year":2008,"lang":"en","type":"article","venue":"Software Testing Verification and Reliability","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal; Nortel (Canada)","funders":"","keywords":"Context (archaeology); Computer science; Queue; Metric (unit); Concurrency; Cover (algebra); Model-based testing; Test (biology); Test case; Reliability engineering; Distributed computing; Programming language; Engineering; Operations management; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005395967,0.0001661928,0.0001915752,0.00006603947,0.0004639795,0.00009845254,0.0002446733,0.00008318394,3.41911e-7],"category_scores_gemma":[0.002316723,0.0001386683,0.0000310083,0.0003443139,0.0001514578,0.0003122879,0.00003372233,0.0001127341,0.000001716273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005675885,"about_ca_system_score_gemma":0.000109528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002296852,"about_ca_topic_score_gemma":0.000001251416,"domain_scores_codex":[0.9987141,0.0000613941,0.0002666311,0.0005417321,0.0001922117,0.0002238789],"domain_scores_gemma":[0.9975461,0.0012199,0.0001373267,0.0005812602,0.0004222775,0.00009314607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000298989,0.001251404,0.7613959,0.003594196,0.00008900095,0.00006255285,0.0121199,0.02237647,0.002320742,0.006468949,0.01553989,0.1744819],"study_design_scores_gemma":[0.001948904,0.00184194,0.3484124,0.001058489,0.00006358248,0.001314664,0.00005963991,0.6089415,0.001432249,0.03019264,0.002964646,0.001769332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1099899,0.0001310865,0.8794623,0.0001794664,0.0001020191,0.0004782872,0.000006738712,0.009595705,0.00005452879],"genre_scores_gemma":[0.587909,0.000007565455,0.4118569,0.00005515576,0.0000300046,0.0001051188,0.000006471044,0.00001087297,0.00001895681],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.586565,"threshold_uncertainty_score":0.5654729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432607937311662,"score_gpt":0.2596500747047716,"score_spread":0.2163892809736054,"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."}}