{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629411,0.0001389791,0.0001434404,0.000122425,0.0003930778,0.00008836376,0.000519935,0.0000703142,0.0001927932],"category_scores_gemma":[0.0001559831,0.0001350506,0.00007529979,0.0006138394,0.0001281996,0.0005932561,0.00008586112,0.0001695735,0.0001567175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181497,"about_ca_system_score_gemma":0.0001874962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675315,"about_ca_topic_score_gemma":0.00005967826,"domain_scores_codex":[0.9984605,0.0001240408,0.0003109485,0.0005029826,0.0003727096,0.0002287995],"domain_scores_gemma":[0.9984909,0.0002927626,0.00008957729,0.0008104435,0.0002280042,0.00008829814],"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":[0.00004828194,0.001665151,0.06409369,0.0002044763,0.00006486207,0.00005619587,0.02614292,0.0383593,0.007091362,0.7634957,0.01811069,0.08066732],"study_design_scores_gemma":[0.001572396,0.0002747822,0.1004242,0.00001803189,0.000009272032,0.0002207922,0.0004016775,0.7590403,0.07667644,0.04453052,0.01573027,0.001101289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3213617,0.00001189627,0.6697427,0.0009018791,0.0001620477,0.0002081844,9.646729e-7,0.0005940563,0.007016536],"genre_scores_gemma":[0.9550187,6.172623e-7,0.0434962,0.0009772504,0.0000760234,0.00009352058,0.000005304413,0.000008241778,0.0003241651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.720681,"threshold_uncertainty_score":0.5507205,"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."}}