{"id":"W2073374531","doi":"10.1145/974043.974089","title":"Performance modeling from software components","year":2004,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Component (thermodynamics); Component-based software engineering; Unified Modeling Language; Software engineering; Software; sync; Modeling language; Programming language; Software 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":[0.001543519,0.001834055,0.0006402804,0.00181838,0.0005641774,0.002899279,0.00244902,0.001282423,0.004361951],"category_scores_gemma":[0.00567853,0.0009008229,0.001680096,0.001437155,0.000963972,0.003640811,0.001639428,0.001903576,0.002668844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142648,"about_ca_system_score_gemma":0.001486513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00533287,"about_ca_topic_score_gemma":0.002716128,"domain_scores_codex":[0.9984419,0.0004101449,0.0001276813,0.0001648861,0.0007504512,0.000104936],"domain_scores_gemma":[0.9983618,0.0007500512,0.0001328833,0.000299648,0.0004041645,0.00005143832],"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":[0.00003613241,0.00005705428,0.0006161598,0.0003985305,0.00006335536,0.0001626676,0.0003645677,0.5106579,0.003594261,0.4188206,0.006060558,0.0591682],"study_design_scores_gemma":[0.00001857552,0.00004735516,0.0002901441,0.0001707737,0.00005982052,0.0001064356,0.00006232011,0.7384835,0.003720593,0.1626914,0.09430669,0.00004245204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002947649,0.0005721702,0.9778217,0.0003812075,0.00008865394,0.00010217,0.0003239124,0.001799398,0.01596311],"genre_scores_gemma":[0.2262906,0.006322787,0.737189,0.000323016,0.0003220824,0.001048517,0.003369489,0.002215685,0.0229187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00533287,"threshold_uncertainty_score":0.01459223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996633812184337,"score_gpt":0.2147627866102179,"score_spread":0.1947964484883745,"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."}}