{"id":"W4387124006","doi":"10.1109/re57278.2023.00060","title":"Leveraging User Feedback for Requirements Through Trend and Narrative Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Narrative; Computer science; User story; Leverage (statistics); Perception; Work (physics); User requirements document; Plan (archaeology); Knowledge management; Data science; Software; Software development; Engineering; Psychology","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":[0.0002481682,0.00009474533,0.0001488529,0.000231039,0.0002936956,0.0002328272,0.0003249664,0.00002806682,0.00003949157],"category_scores_gemma":[0.00004816073,0.00008474416,0.00005928446,0.003464093,0.00003128094,0.0008056897,0.0002293717,0.00004169393,0.00002647596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002561905,"about_ca_system_score_gemma":0.00001989372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160553,"about_ca_topic_score_gemma":0.00005414334,"domain_scores_codex":[0.9990364,0.0000217133,0.0001917444,0.0003585595,0.0001715078,0.0002200557],"domain_scores_gemma":[0.99934,0.0001444883,0.00006007419,0.0003352989,0.00008836227,0.00003177199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002479675,0.0001993922,0.1131347,0.00007052706,0.00400684,0.00002338851,0.2296456,0.00370259,0.001554761,0.4284067,0.1629909,0.05623975],"study_design_scores_gemma":[0.004924891,0.0004285048,0.256787,0.00007861808,0.0006625408,0.00001163384,0.02573625,0.4140901,0.005625243,0.1220059,0.1672857,0.002363506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.116045,0.000006686525,0.8776027,0.003615535,0.0001109556,0.0001872088,0.000005000427,0.0003312041,0.002095708],"genre_scores_gemma":[0.8098868,0.000003355433,0.1797563,0.0008168627,0.00003236695,0.00005600756,0.00003128263,0.00001012031,0.009406964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6978464,"threshold_uncertainty_score":0.3455767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07008524265387796,"score_gpt":0.3358745192096667,"score_spread":0.2657892765557887,"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."}}