{"id":"W2129065328","doi":"10.1145/2597073.2597100","title":"Finding patterns in static analysis alerts: improving actionable alert ranking","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Programmer; Computer science; Static analysis; Ranking (information retrieval); Software bug; Software; Data science; Software engineering; Data mining; Operating system; Information retrieval; 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":[0.00446644,0.002040202,0.002360731,0.01234918,0.0008870419,0.002693009,0.002499293,0.001914782,0.003136735],"category_scores_gemma":[0.03594517,0.0006023406,0.0009980967,0.00577714,0.0005714586,0.004284649,0.001722428,0.001922986,0.002972575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025048,"about_ca_system_score_gemma":0.002437611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006705629,"about_ca_topic_score_gemma":0.01164519,"domain_scores_codex":[0.9923629,0.001427763,0.001026366,0.001346738,0.003247983,0.0005882459],"domain_scores_gemma":[0.9657989,0.01484004,0.003756823,0.003847561,0.01031662,0.00144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001248028,0.001011918,0.1171764,0.0007368881,0.0002447412,0.0003097853,0.0003469646,0.01809701,0.01517777,0.002813411,0.03587537,0.8069617],"study_design_scores_gemma":[0.0002846148,0.001257878,0.04725835,0.0002804418,0.0004598901,0.001222454,0.0007819853,0.8773466,0.02476973,0.02656786,0.01954398,0.0002260801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461563,0.005857707,0.5919193,0.0029927,0.0008246808,0.0009838792,0.009933943,0.03347042,0.007861056],"genre_scores_gemma":[0.6879655,0.0009536048,0.2903871,0.0005453078,0.0004090809,0.0002418557,0.01481118,0.0009861741,0.003700212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234918,"threshold_uncertainty_score":0.02362108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491403258251053,"score_gpt":0.2628881245769317,"score_spread":0.2479740919944211,"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."}}