{"id":"W2121206479","doi":"10.1109/compsac.2010.68","title":"Improving Software Performance and Reliability with an Architecture-Based Self-Adaptive Framework","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Concurrency; Distributed computing; Reliability (semiconductor); Software architecture; Architecture; Switchover; Concurrency control; Software; Operating system; Database","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":[0.0005056711,0.0001987477,0.0001734984,0.00006994082,0.0001401043,0.00008597145,0.0005454631,0.0001178045,0.000003515186],"category_scores_gemma":[0.0008127781,0.0001445303,0.0000202133,0.0002414376,0.000112732,0.0005563315,0.0001596656,0.0006764664,0.000001689917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002244722,"about_ca_system_score_gemma":0.00008736647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001356349,"about_ca_topic_score_gemma":0.000009962902,"domain_scores_codex":[0.9987603,0.00006503413,0.000129476,0.0005469126,0.0001903234,0.000307985],"domain_scores_gemma":[0.9976483,0.001165485,0.00005952391,0.0009020581,0.000093626,0.0001310017],"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":[0.0001723615,0.0001789864,0.02088852,0.0002441254,0.00002354366,0.00002123985,0.00211944,0.2463943,0.001406311,0.01345511,0.000007094927,0.715089],"study_design_scores_gemma":[0.001241739,0.003763686,0.1073368,0.0001243477,0.0000309774,0.000133068,0.00008197295,0.7744309,0.03059127,0.07968821,0.0004920646,0.002084918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2324475,0.00000654766,0.7656621,0.00006970551,0.0001543357,0.0001322817,6.047824e-7,0.001508159,0.00001876369],"genre_scores_gemma":[0.2966171,6.775191e-7,0.7032217,0.00009522117,0.00002985576,0.00001624708,3.206678e-7,0.00001195603,0.000006965061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7130041,"threshold_uncertainty_score":0.5893775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033928643657847,"score_gpt":0.2364897935920952,"score_spread":0.2261505071555168,"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."}}