{"id":"W2171151309","doi":"10.1109/edcc.2010.13","title":"Emulation of Transient Software Faults for Dependability Assessment: A Case Study","year":2010,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Emulation; Dependability; Computer science; Context (archaeology); Software; Fault injection; Transient (computer programming); Software fault tolerance; Software bug; Embedded system; Fault (geology); Fault tolerance; Reliability engineering; Distributed computing; Engineering; Software engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016701,0.0001160154,0.0002116134,0.00005991087,0.0001395698,0.00002886947,0.0003357274,0.0000759316,0.0000171889],"category_scores_gemma":[0.00009807375,0.00008541129,0.000104577,0.0002108403,0.00003488249,0.0004144433,0.00006429716,0.0001278181,0.000002153535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002407273,"about_ca_system_score_gemma":0.0001160441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004213047,"about_ca_topic_score_gemma":0.0009285084,"domain_scores_codex":[0.9986997,0.00005564844,0.0004183079,0.0003930905,0.0002552125,0.0001780833],"domain_scores_gemma":[0.9984452,0.0002696731,0.0001030455,0.0008110655,0.0003017828,0.00006926038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000027602,0.001941724,0.9007385,0.0003078245,0.00004706378,0.00004713315,0.00637665,0.0003871002,0.0008620006,0.0009534223,0.00005477191,0.0882562],"study_design_scores_gemma":[0.004384955,0.001884856,0.7845683,0.00002459408,0.00006050605,0.0006419073,0.002160217,0.200509,0.003001218,0.001618907,0.0005234019,0.0006221577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5581505,0.000001387965,0.4405288,0.00003208188,0.000349067,0.0007928043,0.000003922522,0.000100889,0.00004051005],"genre_scores_gemma":[0.90127,1.200504e-7,0.09857842,0.00001349748,0.00002644547,0.00008576094,0.000001723189,0.000004809105,0.00001927232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3431194,"threshold_uncertainty_score":0.3482971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576436517512149,"score_gpt":0.3187662691080683,"score_spread":0.3030019039329468,"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."}}