{"id":"W4410049368","doi":"10.1145/3680256.3721264","title":"RPerf: Mining User Reviews Using Topic Modeling to Assist Performance Testing: An Industrial Experience Report","year":2025,"lang":"en","type":"article","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; 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":[0.001927507,0.00009653907,0.0002218615,0.0001259743,0.0007042619,0.00014068,0.0002285182,0.00006603412,0.0001324491],"category_scores_gemma":[0.002020336,0.00008569653,0.00005802168,0.001158507,0.00004537507,0.0003224778,0.00007440533,0.00009209238,0.000004799713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033406,"about_ca_system_score_gemma":0.0003155479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231097,"about_ca_topic_score_gemma":0.0003910867,"domain_scores_codex":[0.9984939,0.0002382097,0.0004468722,0.0003205354,0.0002783388,0.0002221971],"domain_scores_gemma":[0.9992732,0.000153115,0.00009268661,0.0001898195,0.0001793524,0.0001118559],"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":[0.00001571112,0.00008331102,0.3748451,0.00001857723,0.00002717347,0.00001602705,0.01379443,0.0569016,0.0005925113,0.004555201,0.0003532541,0.5487971],"study_design_scores_gemma":[0.0002224118,0.00004264259,0.005316074,0.0003043842,0.00007322562,0.000006205396,0.00717098,0.8925903,0.0001720803,0.0005717073,0.09308649,0.0004434635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716574,0.00004638106,0.1063787,0.0002981436,0.0004001502,0.000162324,1.132457e-7,0.00005020284,0.02100648],"genre_scores_gemma":[0.8417457,0.000006040687,0.1508139,0.0003488169,0.0003892696,0.00001659597,0.000001564167,0.000003972761,0.006674149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8356888,"threshold_uncertainty_score":0.5416684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4860696138779827,"score_gpt":0.502013129840431,"score_spread":0.01594351596244831,"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."}}