{"id":"W1978687257","doi":"10.1145/1188895.1188909","title":"A model-based approach for testing the performance of web applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Workload; Web application; Set (abstract data type); Indirection; Session (web analytics); Process (computing); Web testing; Software performance testing; Distributed computing; Data mining; Software engineering; The Internet; Web application security; Operating system; Software system; Software; World Wide Web; Web development","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001558491,0.001231335,0.0007208113,0.001286693,0.0005855974,0.001738642,0.002296956,0.001762147,0.001224601],"category_scores_gemma":[0.005613714,0.0007151851,0.001569519,0.0007505438,0.0009633283,0.001634748,0.001008207,0.001514819,0.0002590649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527976,"about_ca_system_score_gemma":0.001956888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004616697,"about_ca_topic_score_gemma":0.003215683,"domain_scores_codex":[0.9981169,0.0007626034,0.0001215655,0.0002037689,0.0006628159,0.0001323584],"domain_scores_gemma":[0.9977179,0.001417152,0.0001477111,0.0004214448,0.0002400686,0.00005586631],"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":[0.0001543299,0.0004287872,0.002555269,0.0001583478,0.0001300183,0.0002161269,0.0001230984,0.90136,0.01626817,0.03459773,0.001028337,0.04297972],"study_design_scores_gemma":[0.00001541891,0.0001048935,0.0002760074,0.0000117941,0.00002988477,0.00006424655,0.00001652608,0.983466,0.004381017,0.01019143,0.0014264,0.00001638119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02557614,0.0001802108,0.9692363,0.0002868309,0.00003340938,0.0002250571,0.0002127847,0.001274498,0.002974775],"genre_scores_gemma":[0.4869828,0.0004221977,0.5084352,0.0001849537,0.00006317748,0.001091924,0.0007097957,0.0001857631,0.001924302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004616697,"threshold_uncertainty_score":0.01108634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868181539268409,"score_gpt":0.2368634570353735,"score_spread":0.2081816416426894,"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."}}