{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674167,0.001553004,0.001358794,0.005377578,0.0009152116,0.001347704,0.00213508,0.001639286,0.003609129],"category_scores_gemma":[0.004568986,0.0007411774,0.001671014,0.001845124,0.0007244822,0.00121375,0.0008760668,0.0009802412,0.0005333722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114981,"about_ca_system_score_gemma":0.001828286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00541182,"about_ca_topic_score_gemma":0.004261139,"domain_scores_codex":[0.9978934,0.0008036736,0.0001127169,0.0003346049,0.000651241,0.0002042325],"domain_scores_gemma":[0.9982205,0.001124452,0.0001187556,0.00009704191,0.0003709843,0.00006815735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001672643,0.0003248609,0.004539181,0.0001877513,0.0002671505,0.0006513039,0.000201234,0.6511748,0.007202068,0.01169881,0.002750436,0.3208353],"study_design_scores_gemma":[0.00005443226,0.0001058155,0.0005084761,0.00003947419,0.00009099142,0.0001868375,0.00006559019,0.9873402,0.002501285,0.007236497,0.001849978,0.00002046176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03682467,0.0005432587,0.9546394,0.0003045781,0.00005361581,0.0003069505,0.0001083435,0.001385183,0.005834032],"genre_scores_gemma":[0.3525026,0.0003827644,0.6425997,0.0002775182,0.00004901894,0.0005782514,0.0005794217,0.0002148343,0.00281578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00541182,"threshold_uncertainty_score":0.0120737,"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."}}