{"id":"W2608917368","doi":"10.4236/jsea.2017.104020","title":"Estimation Models for Software Functional Test Effort","year":2017,"lang":"en","type":"article","venue":"Journal of Software Engineering and Applications","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Function point; Use Case Points; Benchmarking; Computer science; Software; Estimation; Function (biology); Reliability engineering; Data mining; Software development; Engineering; Software development process; Systems engineering","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":[0.0003533082,0.0001277338,0.0001737137,0.0001650917,0.0003568235,0.0003083105,0.0006489173,0.00006651701,0.000001305023],"category_scores_gemma":[0.002127564,0.0001232512,0.00008379927,0.0000969369,0.0000319629,0.0008337661,0.0001167394,0.0001982739,0.000002805947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005346155,"about_ca_system_score_gemma":0.00008359286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002181775,"about_ca_topic_score_gemma":1.928279e-7,"domain_scores_codex":[0.9990668,0.000002494938,0.0002811074,0.0001819258,0.0002649627,0.0002026589],"domain_scores_gemma":[0.9977337,0.001137431,0.0002008408,0.0004824409,0.0002919266,0.0001536856],"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":[0.00001174157,0.00016065,0.01926632,0.0003475446,0.0001100578,0.000007365737,0.0001435192,0.6979926,0.0003489283,0.02092056,0.00216795,0.2585227],"study_design_scores_gemma":[0.001050613,0.0001971123,0.1087848,0.000188012,0.00004096298,0.0002914413,0.000005940373,0.868086,0.0008588485,0.00979763,0.01027556,0.0004231598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003748258,0.0002268362,0.9952334,0.0002144905,0.0001846258,0.0002139102,0.00001137616,0.0001634044,0.000003756424],"genre_scores_gemma":[0.4180378,0.00003247205,0.5814251,0.00001391005,0.0002748386,0.0001247917,0.000003763739,0.00002065693,0.00006670677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4142895,"threshold_uncertainty_score":0.5026038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208263180793026,"score_gpt":0.264435890800836,"score_spread":0.2423532589929057,"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."}}