{"id":"W2151635819","doi":"10.1145/1276958.1277172","title":"Automatic mutation test input data generation via ant colony","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Ant colony optimization algorithms; Mutation; Context (archaeology); Genetic algorithm; Java; Code coverage; Test data; Data mining; Machine learning; Artificial intelligence; Software","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":[0.0008070694,0.0005965366,0.0007308843,0.0007318659,0.0002891562,0.0004728952,0.001225664,0.0006879561,0.001019405],"category_scores_gemma":[0.003674129,0.000261608,0.0003643015,0.0004694014,0.0004163484,0.000625209,0.0007813065,0.0006384706,0.0002006032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122645,"about_ca_system_score_gemma":0.0004822922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765001,"about_ca_topic_score_gemma":0.001215603,"domain_scores_codex":[0.999011,0.0002885093,0.00005761526,0.0001254741,0.0004375211,0.00007982382],"domain_scores_gemma":[0.9979468,0.001061014,0.0002178367,0.0003653217,0.0003395186,0.00006952957],"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":[0.0002158057,0.0003093188,0.003520261,0.0001187705,0.00007348556,0.000391242,0.0001886411,0.4395267,0.09707081,0.007263181,0.001796388,0.4495254],"study_design_scores_gemma":[0.00002852139,0.00005150843,0.0003813149,0.000002995295,0.000009266332,0.00008736338,0.000008632305,0.9828398,0.01473152,0.00106244,0.0007880797,0.000008621438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1203922,0.0001588556,0.872851,0.0001868814,0.00003517184,0.0001722671,0.00003829595,0.004112982,0.00205245],"genre_scores_gemma":[0.6901891,0.00008044231,0.3081494,0.00006967866,0.00001225008,0.0001813454,0.00009799333,0.0001457161,0.00107414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001765001,"threshold_uncertainty_score":0.004268289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05954161236665662,"score_gpt":0.3142915271483908,"score_spread":0.2547499147817342,"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."}}