{"id":"W2398007991","doi":"","title":"Machine Learning-based Software Testing: Towards a Classification Framework.","year":2011,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University; University of New Brunswick","funders":"","keywords":"Computer science; Software testing; Software engineering; Software reliability testing; System integration testing; Software performance testing; Test strategy; Machine learning; Regression testing; Software construction; Artificial intelligence; Software; Software development; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006606297,0.001037642,0.001177611,0.005927719,0.0006604607,0.003024925,0.003605598,0.002315884,0.001654709],"category_scores_gemma":[0.03479834,0.0002843371,0.0007895559,0.004184332,0.001751576,0.005228418,0.00149422,0.002322687,0.0008375228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225168,"about_ca_system_score_gemma":0.001478087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193391,"about_ca_topic_score_gemma":0.002532931,"domain_scores_codex":[0.9939329,0.002146357,0.000582054,0.0006685596,0.002350977,0.0003191365],"domain_scores_gemma":[0.9701625,0.01901718,0.002553785,0.002685161,0.004789136,0.0007921573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001905025,0.000669753,0.04963426,0.000689989,0.0001615381,0.0002751631,0.0003270865,0.03187544,0.002194067,0.06867548,0.01378946,0.8315173],"study_design_scores_gemma":[0.00005088074,0.0002569213,0.01085011,0.0004187011,0.0001116184,0.0007575756,0.0003306525,0.6946064,0.006366366,0.2754005,0.01078805,0.00006221602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03972584,0.007711474,0.9382855,0.003951135,0.0002317261,0.0003817585,0.0007248284,0.001833876,0.007154018],"genre_scores_gemma":[0.6138121,0.002976203,0.3754425,0.0008276526,0.0006250649,0.0004843348,0.002142936,0.0001649597,0.003524217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006606297,"threshold_uncertainty_score":0.03493786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277672093902538,"score_gpt":0.2392830814880358,"score_spread":0.1965063605490104,"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."}}