{"id":"W2053941028","doi":"10.5539/cis.v8n1p25","title":"Best Test Cases Selection Approach Using Genetic Algorithm","year":2015,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence diagram; Computer science; Test case; Algorithm; Sequence (biology); Unified Modeling Language; Automatic test pattern generation; Graph; Relation (database); Path (computing); Genetic algorithm; Class diagram; Data mining; Theoretical computer science; Programming language; Software; Machine learning","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":[0.0006739192,0.00009479281,0.00008377701,0.0003012659,0.0002879504,0.0007668221,0.0004767507,0.00002980342,2.802258e-7],"category_scores_gemma":[0.0002409044,0.0000842606,0.00001314489,0.001054593,0.0001585709,0.005971873,0.0003110255,0.00006850085,0.00001215173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006211877,"about_ca_system_score_gemma":0.000217984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000640026,"about_ca_topic_score_gemma":5.810464e-8,"domain_scores_codex":[0.9990082,0.00001796628,0.0002022894,0.0001937759,0.0003716093,0.0002061817],"domain_scores_gemma":[0.9990497,0.00009311191,0.00009047817,0.0002171676,0.0003895,0.0001600606],"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":[6.917332e-7,0.0000410259,0.0048568,0.00001414265,0.000001449474,0.000001807564,0.001568312,0.002795286,0.0000174193,0.001120547,0.00162679,0.9879557],"study_design_scores_gemma":[0.00009466895,0.0001276566,0.002349216,0.00001406473,0.000001607422,0.0006997121,0.000008210873,0.9947478,0.0001488603,0.001025563,0.0006615009,0.0001211738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005426116,0.00002915343,0.992308,0.00002567313,0.0002039086,0.00009017502,8.615634e-7,0.001292829,0.0006233487],"genre_scores_gemma":[0.1910726,0.000003618955,0.808583,0.0002769696,0.00005427965,0.000003561292,8.832344e-7,0.000001718411,0.00000331075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9919525,"threshold_uncertainty_score":0.7394484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0559674720454713,"score_gpt":0.2856267217845211,"score_spread":0.2296592497390498,"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."}}