{"id":"W2102700644","doi":"10.1109/hase.2014.48","title":"Ordering Upgrade Changes for Highly Available Component Based Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upgrade; Component (thermodynamics); Middleware (distributed applications); Computer science; Service (business); Distributed computing; Software; Component-based software engineering; Software system; Reliability engineering; Operating system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000657826,0.0001430506,0.0002147821,0.00009627732,0.00008618917,0.0000985998,0.0005951297,0.00004973101,0.000003657848],"category_scores_gemma":[0.0004210758,0.0001244556,0.00003709123,0.000161631,0.0000185295,0.0001591912,0.0001147784,0.00006257052,0.00003180505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004034593,"about_ca_system_score_gemma":0.00001658253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002230422,"about_ca_topic_score_gemma":0.000003642529,"domain_scores_codex":[0.9989752,0.00007393957,0.0001421686,0.0003353664,0.0001441389,0.0003292015],"domain_scores_gemma":[0.997918,0.001369081,0.00005521962,0.0005315625,0.00006017431,0.0000659508],"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":[0.00001420298,0.0000618947,0.0001080548,0.0005478847,0.0000357221,0.000003583229,0.0001724599,0.7717935,0.0315228,0.1630385,0.007276244,0.02542511],"study_design_scores_gemma":[0.0004066309,0.0001498092,0.00005729664,0.00005159853,0.000003882696,0.000003757749,0.000008930851,0.8559611,0.02536586,0.001475513,0.1162146,0.0003010051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002665424,0.0001920111,0.9958971,0.0006486493,0.001127274,0.0002546715,0.00000134429,0.001339866,0.000272527],"genre_scores_gemma":[0.0534077,0.000005123444,0.9452339,0.0001874308,0.00009984859,0.00012292,0.000002194268,0.00001712453,0.0009236979],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.161563,"threshold_uncertainty_score":0.5075153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602580034140403,"score_gpt":0.2671660515430404,"score_spread":0.2111402512016364,"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."}}