{"id":"W2031392029","doi":"10.1109/issre.2008.22","title":"A Hardware-Assisted Tool for Fast, Full Code Coverage Analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Computer science; Instrumentation (computer programming); Debugging; Code (set theory); Code coverage; Process (computing); Unreachable code; Embedded system; Software; Dead code; Redundant code; Source code; Operating system; Computer hardware; Code generation; Programming language; Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114178,0.001230099,0.000843411,0.002343495,0.0003691972,0.0007522463,0.001445386,0.0008260718,0.01137309],"category_scores_gemma":[0.006185554,0.0006865296,0.0006531961,0.001259814,0.0005345815,0.001802674,0.001335711,0.001141717,0.00293869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420959,"about_ca_system_score_gemma":0.0009307868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000962352,"about_ca_topic_score_gemma":0.001339294,"domain_scores_codex":[0.9985856,0.0001905725,0.0001269291,0.000201274,0.0007959041,0.00009974756],"domain_scores_gemma":[0.9938191,0.00324783,0.0005765235,0.001313092,0.0009224326,0.0001210578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006876818,0.0003262069,0.005002751,0.0006878628,0.0001639433,0.0007831042,0.0003583974,0.02401146,0.1105358,0.00969625,0.03846523,0.8092814],"study_design_scores_gemma":[0.0003108893,0.0005953514,0.004948972,0.0001484451,0.0001210977,0.002163505,0.00006989118,0.7169813,0.2126974,0.01087852,0.05087809,0.0002064769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01034179,0.0001903447,0.8683993,0.0000892421,0.00005798268,0.000120704,0.0007790099,0.1181969,0.001824739],"genre_scores_gemma":[0.2201286,0.0002388411,0.7640288,0.000189271,0.00007152642,0.000523805,0.002688146,0.00622998,0.005901088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01137309,"threshold_uncertainty_score":0.03804684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624551820477032,"score_gpt":0.2944457366308323,"score_spread":0.2582002184260619,"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."}}