{"id":"W1963583462","doi":"10.1109/issre.2012.20","title":"Mutation Testing of Event Processing Queries","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Event (particle physics); Benchmark (surveying); Complex event processing; Mutation; Data mining; Process (computing); SQL; Quality (philosophy); Mutation testing; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002898939,0.00004754348,0.00005970317,0.0000463019,0.00004837546,0.00002642484,0.0001631449,0.00001811038,0.000001793833],"category_scores_gemma":[0.0004939568,0.00003961377,0.0000131,0.0002487806,0.00001893356,0.000444565,0.00006831902,0.00003103185,0.000003023484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001083597,"about_ca_system_score_gemma":0.00002931601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005995758,"about_ca_topic_score_gemma":4.22603e-7,"domain_scores_codex":[0.9995357,0.0000159881,0.0001253576,0.00007930912,0.0001131504,0.0001305245],"domain_scores_gemma":[0.9995039,0.0001562785,0.00007868151,0.0001420696,0.0000883281,0.00003080338],"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":[9.079313e-7,0.00008024478,0.1316245,0.00007178897,0.000002852395,0.000001316537,0.00197483,0.00003096457,0.0009157717,0.01245609,0.001289401,0.8515513],"study_design_scores_gemma":[0.000375786,0.0004299524,0.1969509,0.0007750334,0.00002210132,0.0003536255,0.0001160408,0.3936271,0.2245088,0.1808301,0.001080706,0.0009299039],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0272966,0.000122068,0.9650761,0.00005940479,0.00005403496,0.00003848491,7.256816e-8,0.004595184,0.002758052],"genre_scores_gemma":[0.5442558,1.053377e-7,0.4556732,0.00003048734,0.00001481255,0.000003077669,1.265507e-7,0.000001862584,0.0000206118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8506214,"threshold_uncertainty_score":0.1615402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418201916147039,"score_gpt":0.2971933130515543,"score_spread":0.2553731214368504,"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."}}