{"id":"W2063462461","doi":"10.4018/jdm.2002040103","title":"Regression Testing of Database Applications","year":2002,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Regression testing; Data mining; Control flow graph; Test case; Regression analysis; Database; Machine learning; Theoretical computer science; Programming language; Software; Software system","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":[0.0007332868,0.0001064833,0.0001708486,0.0002954798,0.00008306427,0.0000477734,0.000985686,0.0000174342,0.00001643333],"category_scores_gemma":[0.0002272976,0.00008483296,0.00005284464,0.0005793431,0.00003087666,0.0005056872,0.0005964479,0.0001454299,0.00001174232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003013513,"about_ca_system_score_gemma":0.00001086829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009368136,"about_ca_topic_score_gemma":2.304608e-7,"domain_scores_codex":[0.998705,0.00004735728,0.0004753106,0.0001836886,0.0004351574,0.0001534589],"domain_scores_gemma":[0.9980589,0.0002413083,0.0005772461,0.0008601351,0.0001777598,0.00008464947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001022297,0.0004707386,0.00302183,0.000467534,0.00009513431,0.0003933799,0.0001715427,0.00007080493,0.001848744,0.01470556,0.3515633,0.6271812],"study_design_scores_gemma":[0.006723395,0.00233142,0.007657664,0.01681953,0.000868717,0.002678047,0.0002645103,0.3801255,0.03357653,0.05274842,0.4933228,0.002883445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007741508,0.0005366437,0.9949226,0.0003708439,0.0001120924,0.0001662724,0.00001589636,0.0005045116,0.002596992],"genre_scores_gemma":[0.05710562,0.0001450978,0.9424118,0.0001360176,0.00007642803,0.00001055089,0.000005129445,0.000008052825,0.0001013273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6242977,"threshold_uncertainty_score":0.3459388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06318055350265096,"score_gpt":0.2895761658878142,"score_spread":0.2263956123851633,"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."}}