{"id":"W2559831754","doi":"10.1109/re.2016.45","title":"Looking into the Crystal Ball: Requirements Evolution over Time","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Variety (cybernetics); Stakeholder; Debugging; Requirements elicitation; Requirements analysis; Goal modeling; Domain (mathematical analysis); Intentionality; Management science; Software engineering; Data science; Artificial intelligence; Engineering; Software; Programming language","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":[0.0004974352,0.00009143211,0.00007593795,0.00004064063,0.0000848173,0.0000385782,0.0006592597,0.00003334905,0.00004343641],"category_scores_gemma":[0.0005218532,0.00004589817,0.00003391555,0.0001495415,0.00004688926,0.000649153,0.0003703319,0.00004874164,0.0001182941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389246,"about_ca_system_score_gemma":0.00002078692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001036326,"about_ca_topic_score_gemma":0.000001833416,"domain_scores_codex":[0.9991516,0.00007796931,0.0001229797,0.0002286003,0.0002094318,0.0002093463],"domain_scores_gemma":[0.9988683,0.0005378636,0.000039579,0.0004893713,0.00003401377,0.0000308673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001568536,0.00004344077,0.0026962,0.00001782122,0.00007221779,0.0000146745,0.00149038,0.005903887,0.3831693,0.2550968,0.004612467,0.3468672],"study_design_scores_gemma":[0.001784214,0.0003404569,0.04752165,0.0002620544,0.00002163286,0.00003954914,0.00005945869,0.03776686,0.04375366,0.8307622,0.03622165,0.001466604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004364586,0.00006061379,0.9933943,0.0005983835,0.0003177571,0.00006935406,1.982509e-7,0.0005883134,0.0006065426],"genre_scores_gemma":[0.3327408,0.000005219903,0.6644351,0.0001274774,0.00006162369,0.000009202911,1.323488e-7,0.000008841026,0.002611649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5756654,"threshold_uncertainty_score":0.1871673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213138845457747,"score_gpt":0.2790176716800065,"score_spread":0.2577037871342318,"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."}}