{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904456,0.0007868872,0.0004778154,0.001573183,0.0003121679,0.0006554255,0.001607676,0.0005054033,0.001502532],"category_scores_gemma":[0.02349404,0.000282076,0.0006350148,0.0009147117,0.0004658281,0.001147339,0.0008022044,0.000826138,0.0003972413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005092866,"about_ca_system_score_gemma":0.0004574635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168591,"about_ca_topic_score_gemma":0.001225529,"domain_scores_codex":[0.9940546,0.002795377,0.00029344,0.000584915,0.001873409,0.0003982924],"domain_scores_gemma":[0.974605,0.01845079,0.001431498,0.002436245,0.002829135,0.0002473993],"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":[0.0009904917,0.001148835,0.03930048,0.0006121495,0.0002233057,0.001176969,0.0005585519,0.1428839,0.1425673,0.01290807,0.003348966,0.654281],"study_design_scores_gemma":[0.0001147084,0.001463019,0.01760076,0.00008741358,0.0001371099,0.001024605,0.000200576,0.7943872,0.1680762,0.01149855,0.00535668,0.00005310996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4706854,0.000562785,0.5142729,0.0004368314,0.00006176791,0.0003445778,0.0003087288,0.007852531,0.005474443],"genre_scores_gemma":[0.9060621,0.0001904132,0.09162062,0.0001197863,0.00002323177,0.0001263179,0.0004591361,0.0003243993,0.001074008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002904456,"threshold_uncertainty_score":0.01536041,"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."}}