{"id":"W2150898646","doi":"10.1109/iwsess.2009.5068458","title":"MUTEC: Mutation-based testing of Cross Site Scripting","year":2009,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cross-site scripting; Computer science; JavaScript; Scripting language; Programming language; Set (abstract data type); Test suite; Test script; Test case; Mutation; Web application; Software engineering; Data mining; World Wide Web; Web application security; Web service; Machine learning; Web development","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":[0.0003640109,0.00008072332,0.000106057,0.00007857514,0.0001024532,0.0001563964,0.0004380464,0.00003212681,0.00001736656],"category_scores_gemma":[0.0003418436,0.00007901255,0.00003499389,0.0005054661,0.00005582471,0.0004124503,0.00004088966,0.00007046948,0.00003028704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002243041,"about_ca_system_score_gemma":0.00007633401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007921649,"about_ca_topic_score_gemma":0.00000513672,"domain_scores_codex":[0.9990283,0.00003161102,0.0002933683,0.0002508326,0.0002340453,0.0001618813],"domain_scores_gemma":[0.9987085,0.0003522433,0.000123065,0.0004434761,0.0003267148,0.0000459956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001045888,0.0004185331,0.05485827,0.0001197924,0.00001205808,0.00001321772,0.005649857,0.02750272,0.0990675,0.6377788,0.0007277256,0.1738411],"study_design_scores_gemma":[0.0004743921,0.0001318324,0.05854865,0.000029593,0.000002666045,0.000008376885,0.00006932444,0.7567388,0.1577903,0.02528381,0.0006648611,0.0002573352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4303421,0.00001547894,0.5594921,0.0007202517,0.00003471681,0.000107633,0.000001393261,0.0002744737,0.009011933],"genre_scores_gemma":[0.7658625,4.327743e-8,0.2333621,0.0006480711,0.00001899216,0.000005243654,0.000001340374,0.000002535557,0.00009923506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7292361,"threshold_uncertainty_score":0.3222038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075641036596555,"score_gpt":0.2972830597958762,"score_spread":0.2665266494299107,"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."}}