{"id":"W2055083376","doi":"10.1109/iwsm.mensura.2014.31","title":"An Analogy-Based Approach to Estimation of Software Development Effort Using Categorical Data","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Analogy; Categorical variable; Fuzzy logic; Computer science; Data mining; Defuzzification; Cluster analysis; Fuzzy set; Fuzzy classification; Fuzzy set operations; Machine learning; Artificial intelligence; Algorithm; Fuzzy number","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":[0.004166377,0.0006778919,0.0007866241,0.006662766,0.0004837246,0.001162354,0.001430029,0.0008132581,0.001423701],"category_scores_gemma":[0.02818544,0.0002448628,0.0008005613,0.005406959,0.0004582168,0.001932974,0.001257503,0.001170461,0.0004269268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000756115,"about_ca_system_score_gemma":0.0009465092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220357,"about_ca_topic_score_gemma":0.00304106,"domain_scores_codex":[0.9948953,0.002389874,0.0004301028,0.0008020525,0.001365609,0.0001171977],"domain_scores_gemma":[0.9864947,0.008493938,0.001489689,0.001503593,0.001872604,0.0001454928],"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":[0.0003743144,0.0005573732,0.07210881,0.0006253486,0.0003073036,0.0002075991,0.001160433,0.1825131,0.008023339,0.04034579,0.003425546,0.690351],"study_design_scores_gemma":[0.00003444062,0.0002270176,0.02052937,0.00006043675,0.00004129738,0.0001638924,0.0002982184,0.9328885,0.004484484,0.03671201,0.004479866,0.00008054903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07553058,0.000204006,0.9206284,0.0001661173,0.00002799148,0.0002067896,0.0006935571,0.0007155744,0.001826986],"genre_scores_gemma":[0.5154257,0.0001405942,0.4818934,0.00004210763,0.00002704739,0.0004157475,0.00124616,0.00004691746,0.0007623006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006662766,"threshold_uncertainty_score":0.02203417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06501548629685232,"score_gpt":0.3187146621619959,"score_spread":0.2536991758651436,"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."}}