{"id":"W2157096094","doi":"10.1109/wcre.2000.891476","title":"A maintainability model for industrial software systems using design level metrics","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); University of Waterloo","funders":"","keywords":"Maintainability; Software sizing; Software metric; Software construction; Computer science; Verification and validation; Reliability engineering; Software measurement; Software reliability testing; Software development; Software maintenance; Software system; Software engineering; Software; Software design; Engineering; Operating system","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":[0.001315712,0.0001581638,0.0002087533,0.0003115786,0.0001385935,0.0002795808,0.0009230364,0.0001565145,0.000008227715],"category_scores_gemma":[0.005758039,0.0001474337,0.0000769882,0.001041956,0.00002839455,0.000403516,0.0002433594,0.0001993272,0.00001034196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475856,"about_ca_system_score_gemma":0.0001537478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006947629,"about_ca_topic_score_gemma":5.900186e-7,"domain_scores_codex":[0.998163,0.00008012259,0.0002662955,0.000456153,0.000488091,0.000546368],"domain_scores_gemma":[0.9965819,0.002236845,0.0000449804,0.0006797557,0.000290908,0.0001655849],"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":[0.000007874763,0.00008791876,0.001576994,0.00006342404,0.00002533831,0.000006593106,0.0002252322,0.9747257,0.00004637246,0.005255101,0.004781455,0.01319797],"study_design_scores_gemma":[0.0004233207,0.00006057772,0.00003456027,0.00001096843,0.000004331397,0.00001041236,0.000009292163,0.9982206,0.0001455852,0.0007979828,0.0001036873,0.000178746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003127347,0.0001000566,0.9949242,0.00007791556,0.0003612225,0.0008798391,0.000008815699,0.0005111033,0.000009512515],"genre_scores_gemma":[0.387631,0.000001114969,0.6115489,0.00001891843,0.00007749251,0.0000702037,4.584799e-7,0.00001665435,0.0006352318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3845037,"threshold_uncertainty_score":0.6893326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4031369177315825,"score_gpt":0.3248981906036223,"score_spread":0.07823872712796015,"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."}}