{"id":"W4391164257","doi":"10.1109/tse.2024.3358283","title":"Tracking the Evolution of Static Code Warnings: The State-of-the-Art and a Better Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Static analysis; Static program analysis; Code (set theory); Workflow; Tracking (education); Source code; Software engineering; Software; Tracking system; Software evolution; Code smell; Programming language; Software development; Artificial intelligence; Software quality; Database; Software construction","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":[0.0005022607,0.0001659222,0.0001509311,0.0001825276,0.0001331724,0.0001125536,0.0006411283,0.00004454008,0.000002922927],"category_scores_gemma":[0.0001218301,0.00009951101,0.0001123341,0.0009192677,0.00009216485,0.0002686612,0.00001339936,0.0005799968,0.000004188368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194345,"about_ca_system_score_gemma":0.0000788952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000257573,"about_ca_topic_score_gemma":0.00000303522,"domain_scores_codex":[0.998697,0.00005407749,0.0002620074,0.0002708534,0.0004487462,0.00026725],"domain_scores_gemma":[0.9977044,0.001604292,0.00003723967,0.0005461104,0.00006445275,0.00004349563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005282159,0.00004119143,0.0002744622,0.0004934474,0.000137566,0.000003206431,0.005976859,0.9502699,0.001406924,0.0002107729,0.0001503228,0.04103],"study_design_scores_gemma":[0.0001622813,0.00006478983,0.004777302,0.0003639529,0.00003994769,0.0000544819,0.00006530925,0.9821112,0.01121954,0.0001507729,0.0007845606,0.0002058374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07878472,0.0004697713,0.9193983,0.0002050641,0.0005498094,0.0002561203,0.00001475386,0.0003188691,0.000002592873],"genre_scores_gemma":[0.9811691,0.00001663456,0.01857242,0.00001701947,0.00002089105,0.00006832626,3.086027e-7,0.00003127669,0.0001040437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9023843,"threshold_uncertainty_score":0.4057941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170681621925808,"score_gpt":0.227054508699584,"score_spread":0.2153476924803259,"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."}}