{"id":"W2136921053","doi":"10.1109/tse.2010.58","title":"The Effects of Time Constraints on Test Case Prioritization: A Series of Controlled Experiments","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regression testing; Prioritization; Computer science; Context (archaeology); Risk-based testing; Reliability engineering; Process (computing); Software; Regression analysis; Data mining; Risk analysis (engineering); Machine learning; Software development; Engineering; Management science; Software construction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001921477,0.0001673611,0.0002514268,0.0001303256,0.0001570345,0.00004284748,0.0002972658,0.00007926135,0.000005816336],"category_scores_gemma":[0.0007819458,0.0001354089,0.0001009785,0.0002579572,0.0001058704,0.0001401755,0.000003675227,0.0002420503,0.000003967388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001855343,"about_ca_system_score_gemma":0.00004599855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008528981,"about_ca_topic_score_gemma":0.000001421779,"domain_scores_codex":[0.9990958,0.00002404995,0.0002913794,0.0001966999,0.0002119601,0.0001801088],"domain_scores_gemma":[0.9957479,0.003481106,0.0001004667,0.0004915614,0.0001182754,0.00006072753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006458235,0.003760255,0.001004239,0.001708043,0.001130773,0.001813411,0.007200509,0.04914959,0.3938009,0.006745785,0.002264252,0.5307764],"study_design_scores_gemma":[0.002701499,0.001191204,0.0001592826,0.0005791385,0.00005098992,0.0009648604,0.000009760905,0.04585632,0.9476696,0.0002782524,0.00008208014,0.0004569596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03091574,0.00003299535,0.9655684,0.0000192605,0.0007684826,0.0003418628,0.000008414631,0.0023229,0.00002193386],"genre_scores_gemma":[0.9067792,0.00000693201,0.09302247,0.00001311689,0.00001906415,0.0000864086,2.829476e-7,0.00001729519,0.00005519011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8758635,"threshold_uncertainty_score":0.5521815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005484845015205005,"score_gpt":0.2193811498363502,"score_spread":0.2138963048211452,"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."}}