{"id":"W2056028108","doi":"10.1145/367845.367929","title":"A workbench for quality based software re-engineering (Poster)","year":2000,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Workbench; Computer science; Software engineering; Process (computing); Quality (philosophy); Iterative and incremental development; Programming language; Object-oriented programming; Engineering design process; Systems engineering; Engineering; Artificial intelligence; Visualization","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":[0.007049245,0.001570416,0.0009541479,0.002971143,0.001278915,0.006011075,0.003121769,0.002250989,0.02053972],"category_scores_gemma":[0.009873234,0.001170594,0.001246132,0.001303324,0.001413709,0.005779611,0.00524631,0.002895536,0.01235423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007885194,"about_ca_system_score_gemma":0.001184026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008339035,"about_ca_topic_score_gemma":0.0006506568,"domain_scores_codex":[0.9961272,0.00101641,0.0003735581,0.0005286199,0.001705102,0.0002491846],"domain_scores_gemma":[0.9927331,0.001715503,0.0003763624,0.003232268,0.001399319,0.0005434752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004637541,0.0007188304,0.001624931,0.0008902256,0.0001123289,0.001333088,0.003911694,0.01572244,0.07949632,0.1034457,0.05460922,0.7376716],"study_design_scores_gemma":[0.0002701393,0.001197063,0.001288101,0.0007576308,0.0001233371,0.001828767,0.001094104,0.07595515,0.1125921,0.06879865,0.7358139,0.0002811293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005186995,0.0002975025,0.962338,0.0005600025,0.0003289758,0.0004793004,0.0003986627,0.01815597,0.01225457],"genre_scores_gemma":[0.04319583,0.0008141708,0.9116164,0.0003441077,0.0001755063,0.0009841945,0.003214504,0.007228724,0.03242642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02053972,"threshold_uncertainty_score":0.06871223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492608106555993,"score_gpt":0.2697498757993028,"score_spread":0.2448237947337428,"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."}}