{"id":"W2295844862","doi":"10.1109/asew.2015.28","title":"Analytics for Software Project Management -- Where are We and Where do We Go?","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software project management; Computer science; Status quo; Software analytics; Analytics; Project management; Software; Software development process; Software engineering; Process management; Data science; Software development; Engineering management; Knowledge management; Engineering; Systems engineering; Software construction","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":[0.0003693002,0.0001730376,0.0001792363,0.0001990288,0.00006442521,0.0003459547,0.0007395163,0.00006828839,0.000009466293],"category_scores_gemma":[0.0001369553,0.0001467271,0.0000484383,0.0004842198,0.00003111168,0.0003076123,0.0005681604,0.0001203435,0.00002730552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009865836,"about_ca_system_score_gemma":0.00007412874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015454,"about_ca_topic_score_gemma":0.00004280667,"domain_scores_codex":[0.9984701,0.00002306153,0.0001645496,0.0004765482,0.0004494025,0.000416379],"domain_scores_gemma":[0.9986708,0.0002785453,0.00003996421,0.0006437578,0.000181427,0.0001855674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002284331,0.000104069,0.02601239,0.00132161,0.0001581598,0.0000984228,0.001118939,0.001295041,0.000002980776,0.01079758,0.7970323,0.1620357],"study_design_scores_gemma":[0.001531643,0.0003063084,0.001949415,0.0003906154,0.00002600924,0.00002948013,0.0008374507,0.06588934,0.00007201243,0.005320981,0.9230485,0.0005982706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004919636,0.006410128,0.9870979,0.004023773,0.0002358938,0.0007125752,0.000006998825,0.0006254991,0.0003952521],"genre_scores_gemma":[0.02096877,0.002941799,0.9429207,0.00008801177,0.0001858293,0.0002706628,0.000002555114,0.00006769498,0.03255399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1614374,"threshold_uncertainty_score":0.5983356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619973563338226,"score_gpt":0.3087933824744035,"score_spread":0.2525936468410212,"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."}}