{"id":"W2108379022","doi":"10.1109/icpc.2007.27","title":"Metrics for Measuring the Effectiveness of Decompilers and Obfuscators","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Java; Metric (unit); Source code; Set (abstract data type); Class (philosophy); Code (set theory); Software metric; Programming language; Theoretical computer science; Data mining; Software engineering; Software; Software quality; Software development; Artificial intelligence","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":[0.003695854,0.00004712432,0.00007383775,0.0001484533,0.00004265599,0.00002760178,0.0003760262,0.00002103152,4.398792e-7],"category_scores_gemma":[0.001411401,0.00003138641,0.00002651284,0.0005412407,0.00002856471,0.00008009615,0.0001185444,0.00004915507,6.000932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002677093,"about_ca_system_score_gemma":0.00001852082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484233,"about_ca_topic_score_gemma":0.000003111891,"domain_scores_codex":[0.9994064,0.00003399064,0.00008242649,0.0001269924,0.0001855218,0.0001646491],"domain_scores_gemma":[0.9898594,0.009783959,0.0000147191,0.0002175559,0.00008136159,0.00004300651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009877852,0.0000883549,0.6854828,0.0007181653,0.0001321459,0.000005013493,0.0005380213,0.001754031,0.007877896,0.1484822,0.0001808398,0.1546418],"study_design_scores_gemma":[0.0003439786,0.0000746328,0.8503464,0.00002178323,0.000003154664,0.00000471812,0.00002030373,0.00823961,0.1394133,0.0011565,0.000283688,0.00009188941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2827154,0.0001131937,0.7167436,0.00001351764,0.0000949512,0.0001523216,1.73267e-7,0.00004641569,0.000120479],"genre_scores_gemma":[0.9690966,0.000002826059,0.03086419,0.000006074343,0.000009810842,0.000008354466,7.995659e-8,0.00000430472,0.000007767299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6863812,"threshold_uncertainty_score":0.1689681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615127465327688,"score_gpt":0.287205072375141,"score_spread":0.2610537977218641,"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."}}