{"id":"W4404800967","doi":"10.1016/j.jss.2024.112283","title":"RPerf: Mining user reviews using topic modeling to assist performance testing: An industrial experience report","year":2024,"lang":"en","type":"article","venue":"Journal of Systems and Software","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Engineering; Software engineering; Data science","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":[0.001704342,0.0001469054,0.0003427049,0.0002605118,0.000139084,0.0007098601,0.0004616547,0.00008327699,0.000001777951],"category_scores_gemma":[0.00203885,0.0001150299,0.00005397325,0.000559677,0.00001503303,0.00114018,0.0001454327,0.0003277692,0.0000020084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234973,"about_ca_system_score_gemma":0.0002300574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005086342,"about_ca_topic_score_gemma":5.829214e-7,"domain_scores_codex":[0.9981383,0.00006579702,0.0007455877,0.0002935565,0.0004919291,0.0002648396],"domain_scores_gemma":[0.998735,0.0002547019,0.0001527536,0.0003455189,0.000255159,0.0002569077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002483254,0.00007261888,0.5226187,0.001629175,0.00009665186,0.003562351,0.01504672,0.2160062,0.002015855,0.0001482018,0.001106236,0.2376725],"study_design_scores_gemma":[0.0002247953,0.0003894732,0.003272502,0.006012135,0.00001828919,0.007872981,0.0003281726,0.9703292,0.00007072192,0.000007556891,0.01110783,0.000366372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6304848,0.002395944,0.3655045,0.00002318147,0.001422689,0.0001051105,3.296298e-7,0.00006019753,0.000003262057],"genre_scores_gemma":[0.9189144,0.00003332599,0.0800691,0.00001547724,0.0008259357,0.000008125049,2.071226e-7,0.00001646703,0.0001170134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7543229,"threshold_uncertainty_score":0.6845196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939954097242877,"score_gpt":0.3482082900804238,"score_spread":0.154212880356136,"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."}}