{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002947962,0.001007593,0.0004808891,0.001123454,0.0003609064,0.0009938385,0.0017002,0.0008693545,0.0008378844],"category_scores_gemma":[0.01643017,0.0002680554,0.0009434911,0.0005847433,0.001300475,0.00161541,0.001090157,0.0007979947,0.000185801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007967379,"about_ca_system_score_gemma":0.001055831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011879,"about_ca_topic_score_gemma":0.0007641242,"domain_scores_codex":[0.9939578,0.001657277,0.0005202053,0.0009770949,0.002467816,0.0004199315],"domain_scores_gemma":[0.986675,0.008315702,0.001450273,0.001461312,0.001844342,0.0002534006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001498314,0.001176314,0.04928519,0.0007542967,0.0002263069,0.004196913,0.001054143,0.2366173,0.4259175,0.02617679,0.003350005,0.2497469],"study_design_scores_gemma":[0.00008908258,0.0007187322,0.003825177,0.00004423433,0.00006993086,0.001041872,0.0001526642,0.7611229,0.223406,0.006440741,0.00303735,0.00005123345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4603106,0.0001316754,0.5286319,0.0002588516,0.00003818753,0.0004363089,0.0003465723,0.007780785,0.002065076],"genre_scores_gemma":[0.865597,0.00006784694,0.1322688,0.000198012,0.0000113728,0.0001798194,0.0005481342,0.000354795,0.0007743027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002947962,"threshold_uncertainty_score":0.01559049,"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."}}