{"id":"W2146981671","doi":"10.1109/ares.2014.20","title":"Enhanced Configuration Generation Approach for Highly Available COTS 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":"Computer science; Middleware (distributed applications); Software deployment; Process (computing); Distributed computing; Automation; Service (business); Set (abstract data type); Task (project management); Quality of service; Software; Software engineering; Reliability engineering; Systems engineering; Engineering; Operating system; Computer network","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":[0.00118629,0.0007739305,0.0006502938,0.001608628,0.0005995704,0.001035968,0.001197576,0.0008368053,0.004046342],"category_scores_gemma":[0.004268256,0.0005344154,0.0008878701,0.0009809424,0.000519947,0.0008578937,0.001032265,0.0006904809,0.0006186253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813075,"about_ca_system_score_gemma":0.0007718229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320154,"about_ca_topic_score_gemma":0.003212203,"domain_scores_codex":[0.9985602,0.0004939581,0.00009640873,0.0002248469,0.0005374704,0.00008706572],"domain_scores_gemma":[0.9975497,0.001268232,0.0002264652,0.0004361536,0.0004503376,0.00006909388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002742268,0.0001700247,0.003274122,0.0003950288,0.00009639055,0.001648043,0.0009064636,0.5431389,0.03849311,0.02825504,0.00334404,0.3800046],"study_design_scores_gemma":[0.00002527931,0.00006560313,0.0005225415,0.00002427043,0.00002604788,0.0003790796,0.00005369851,0.9806923,0.005995543,0.008143256,0.004049536,0.00002288577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0179476,0.000108901,0.9779512,0.00006609995,0.00002107212,0.0001500349,0.00007121731,0.001668381,0.002015487],"genre_scores_gemma":[0.2734607,0.0001314682,0.7230527,0.00005401549,0.000026063,0.0002006808,0.0002901722,0.0002832234,0.002500979],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004046342,"threshold_uncertainty_score":0.01353639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063711685992046,"score_gpt":0.2683464546522205,"score_spread":0.2046347686601745,"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."}}