{"id":"W2145149095","doi":"10.1002/stvr.461","title":"Regression test suite prioritization using system models","year":2011,"lang":"en","type":"article","venue":"Software Testing Verification and Reliability","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Regression testing; Test suite; Computer science; Prioritization; Reliability engineering; Test (biology); Test case; Fault detection and isolation; System under test; Test Management Approach; Empirical research; Overhead (engineering); Suite; Regression analysis; Data mining; Machine learning; Artificial intelligence; Engineering; Software system; Statistics; Software; 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":[0.005257537,0.001058508,0.0007414755,0.002161936,0.0002709122,0.001077158,0.001115475,0.0004625328,0.001777706],"category_scores_gemma":[0.02194929,0.0004777441,0.0007222638,0.001081807,0.000397055,0.001326756,0.0008196723,0.0009735326,0.0002456773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478436,"about_ca_system_score_gemma":0.001439913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005115394,"about_ca_topic_score_gemma":0.005177372,"domain_scores_codex":[0.9939166,0.003433439,0.0002368535,0.0004231279,0.00170895,0.0002811576],"domain_scores_gemma":[0.9773501,0.01670895,0.001682743,0.001934882,0.002065727,0.0002575234],"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":[0.0004814765,0.0002798837,0.009404477,0.0001579162,0.0001155974,0.0001160679,0.0001376106,0.7876969,0.009746252,0.009891013,0.00150906,0.1804638],"study_design_scores_gemma":[0.00002589427,0.00009559602,0.0006630533,0.00001027941,0.00002499352,0.0000371462,0.00001155893,0.9920017,0.004080257,0.002540298,0.0004983144,0.00001084309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.197358,0.0003924936,0.7927605,0.0003114133,0.00003293547,0.0002707169,0.0001960219,0.004151458,0.004526441],"genre_scores_gemma":[0.8330029,0.0001164561,0.1654783,0.00004113191,0.00001690609,0.0001277851,0.0002562623,0.0002213429,0.0007389513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005257537,"threshold_uncertainty_score":0.02780479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08413484429999112,"score_gpt":0.2648815431189903,"score_spread":0.1807466988189992,"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."}}