{"id":"W2101417205","doi":"10.1109/qsic.2008.33","title":"MUSIC: Mutation-based SQL Injection Vulnerability Checking","year":2008,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; SQL injection; SQL; Secure coding; Web application; Source code; Test case; Java; Programming language; Coding (social sciences); Mutation; Unit testing; Database; Software engineering; Operating system; World Wide Web; Query by Example; Software; Search engine; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002023644,0.001015836,0.0007861239,0.002253518,0.0004771368,0.0008311927,0.001932178,0.0009673808,0.001260301],"category_scores_gemma":[0.01026856,0.0003952118,0.0009677007,0.0009311137,0.001323178,0.001799221,0.001243961,0.0007393259,0.0003792952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006762507,"about_ca_system_score_gemma":0.001353407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182757,"about_ca_topic_score_gemma":0.001483171,"domain_scores_codex":[0.9963806,0.0007638024,0.0003178557,0.0005599725,0.001716891,0.0002608547],"domain_scores_gemma":[0.9937661,0.002984814,0.001070753,0.001117848,0.0009221539,0.0001384187],"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":[0.001333047,0.0006517523,0.04565477,0.0008018767,0.0004693709,0.001988424,0.000649265,0.1383581,0.2930224,0.02284635,0.007312334,0.4869124],"study_design_scores_gemma":[0.0001546948,0.0006424751,0.006700429,0.00006584311,0.0001434426,0.001514612,0.00008104705,0.7162556,0.2591258,0.00964917,0.005558544,0.0001083243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1767354,0.0002840169,0.7780336,0.0002385371,0.00007245723,0.0003554243,0.000638016,0.04138155,0.002260967],"genre_scores_gemma":[0.6704143,0.0001375092,0.3261043,0.0002192379,0.00003860541,0.0002164697,0.0008896137,0.0007172534,0.001262786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002253518,"threshold_uncertainty_score":0.01070213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054912552352494,"score_gpt":0.2635980593103109,"score_spread":0.2230489337867859,"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."}}