{"id":"W2163835670","doi":"10.1109/sess.1997.595954","title":"From software metrics to software measurement methods: a process model","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software metric; Software measurement; Software sizing; Verification and validation; Software quality; Software; Metric (unit); Process (computing); Data mining; Software development process; Goal-Driven Software Development Process; Software construction; Software development; Software engineering; Reliability engineering; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001105585,0.0002757958,0.0002952221,0.0005255967,0.000118405,0.0002995628,0.002192195,0.0001110859,0.0001563681],"category_scores_gemma":[0.01017711,0.0002521034,0.00009545991,0.002371178,0.00001906628,0.0005125718,0.0005848074,0.0002909172,0.0004255851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003007234,"about_ca_system_score_gemma":0.0001001198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007117006,"about_ca_topic_score_gemma":0.000006096685,"domain_scores_codex":[0.9962944,0.00009055115,0.0003223731,0.0008589111,0.001759265,0.0006744475],"domain_scores_gemma":[0.9965427,0.001005588,0.00004394159,0.001247708,0.0006924352,0.0004676159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009932954,0.000415884,0.003677934,0.0001301594,0.0001604838,0.00004695619,0.005270634,0.1729849,0.0007360537,0.000630738,0.03249387,0.7834425],"study_design_scores_gemma":[0.0003811742,0.00009262285,0.0005931085,0.00005461713,0.00001159818,0.000005114262,0.00003184965,0.9836713,0.007967826,0.004882675,0.001698947,0.0006091871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001326527,0.0005616721,0.9948924,0.0005941551,0.0002615082,0.0003650896,0.000007293024,0.001853282,0.00013806],"genre_scores_gemma":[0.05521484,0.000007261773,0.9435763,0.0004410002,0.00007548483,0.0001338967,0.000001138948,0.00003779249,0.0005123107],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8106864,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132009438629855,"score_gpt":0.3423479141088234,"score_spread":0.2291469702458379,"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."}}