{"id":"W2049321492","doi":"10.1142/s0218194002000913","title":"ASSOCIATION ANALYSIS OF SOFTWARE MEASURES","year":2002,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software sizing; Software; Software metric; Software engineering; Software construction; Reusability; Regression testing; Software development; Software quality; Verification and validation; Association (psychology); Data mining; Statistics; Programming language; Mathematics","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":[0.01347208,0.0009787901,0.001622381,0.01186649,0.001060688,0.003540287,0.001068417,0.00102941,0.00309497],"category_scores_gemma":[0.09784903,0.0003798844,0.001583018,0.01170329,0.001266546,0.004698914,0.002566257,0.001619963,0.0009106081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008309017,"about_ca_system_score_gemma":0.00108634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005667323,"about_ca_topic_score_gemma":0.0003814846,"domain_scores_codex":[0.9737118,0.01047606,0.002466051,0.005757618,0.00687598,0.0007125657],"domain_scores_gemma":[0.8498331,0.1068271,0.01717661,0.01314063,0.01191072,0.001111998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001073508,0.0003925788,0.4301268,0.001558563,0.002672738,0.00114274,0.002433008,0.03013615,0.006590086,0.1093257,0.004214394,0.4103337],"study_design_scores_gemma":[0.0001155805,0.001285278,0.2503394,0.0004183314,0.002115142,0.00263694,0.002547857,0.2904701,0.01075734,0.4166411,0.02240203,0.0002708353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2765947,0.001863066,0.7106275,0.0005579483,0.0001469822,0.0004355105,0.002344166,0.0008627155,0.006567423],"genre_scores_gemma":[0.869709,0.0007125103,0.124122,0.0001174636,0.0001794009,0.000785418,0.003078243,0.0001133534,0.001182617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01347208,"threshold_uncertainty_score":0.07124799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456602923301796,"score_gpt":0.2428346849926979,"score_spread":0.22826865575968,"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."}}