{"id":"W2810772136","doi":"10.5539/mas.v12n7p99","title":"Using Artificial Bee Colony Algorithm for Test Data Generation and Path Testing Coverage","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Traverse; Keyword-driven testing; White-box testing; Automation; Software; Path (computing); Code coverage; Heuristic; Artificial bee colony algorithm; Test strategy; Data mining; Software development; Artificial intelligence; Software construction; Programming language; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001406737,0.0001341944,0.0001262865,0.0001089267,0.001040841,0.0006403088,0.001300939,0.00004579174,4.295412e-7],"category_scores_gemma":[0.0008553475,0.0001315805,0.000009163102,0.0006218514,0.0004445599,0.0006018765,0.0008964837,0.00007479348,0.000002720621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005417126,"about_ca_system_score_gemma":0.0002582445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004135415,"about_ca_topic_score_gemma":0.000004679112,"domain_scores_codex":[0.9981467,0.00001053473,0.0002004645,0.0009116851,0.0003527648,0.0003779237],"domain_scores_gemma":[0.99844,0.0003734698,0.0001157604,0.0007562769,0.0002162835,0.00009825448],"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":[0.000001144815,0.0000362415,0.0002147363,0.000004459688,0.000001100921,0.000001303385,0.0002316735,0.00003283858,0.3723977,0.001895214,0.0004709737,0.6247126],"study_design_scores_gemma":[0.00007720853,0.00008284453,0.0001346241,0.00001207723,0.00000403684,0.00001670433,0.00000108132,0.9159051,0.01134733,0.07220877,0.00004789392,0.0001623258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008640448,0.00001469681,0.9890909,0.00005273964,0.0001329539,0.0002995213,0.00002186658,0.001542145,0.0002047884],"genre_scores_gemma":[0.4704322,3.341131e-7,0.5292043,0.0001629192,0.000176885,0.00001202154,0.000002717317,0.000005955439,0.000002697232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9158723,"threshold_uncertainty_score":0.8005412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1841109287647751,"score_gpt":0.3381553834372845,"score_spread":0.1540444546725094,"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."}}