{"id":"W2184943467","doi":"","title":"Formal Model Driven Approach to Deal with Requirements Volatility","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Tuple; Model transformation; Transformation (genetics); Requirements engineering; Consistency (knowledge bases); Requirements elicitation; Relational model; Feature model; Requirements analysis; Theoretical computer science; Algebra over a field; Software; Relational database; Mathematics; Programming language; Data mining; Artificial intelligence; Discrete mathematics; Pure mathematics","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":[0.0002064621,0.0001239302,0.0001386043,0.00005680106,0.0001094425,0.00001754182,0.0005954959,0.0000340133,8.655871e-7],"category_scores_gemma":[0.00003824794,0.00009455946,0.00002370315,0.0002422071,0.00003284376,0.0008554297,0.0003106538,0.00009091778,0.000006838276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005065506,"about_ca_system_score_gemma":0.00004874589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005035243,"about_ca_topic_score_gemma":0.000001166834,"domain_scores_codex":[0.9989303,0.00002705547,0.0001309522,0.0003305646,0.0002482666,0.0003328105],"domain_scores_gemma":[0.9992921,0.00006887721,0.00002501069,0.0004511368,0.00005786077,0.0001049903],"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":[0.00001039645,0.00003331888,0.0009448444,0.000006497555,0.000007622904,0.000003464934,0.0007251487,0.9849436,0.00009189775,0.007925278,0.00014177,0.005166163],"study_design_scores_gemma":[0.0001781345,0.00007738957,0.003334939,0.000003194759,0.000001265213,0.00002353657,0.000009183098,0.9936719,0.0005756061,0.00186519,0.0000863984,0.000173295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03082556,0.000004568798,0.9650011,0.00003621616,0.0000254426,0.0001588528,5.805787e-7,0.0006321694,0.003315498],"genre_scores_gemma":[0.2905572,7.036494e-7,0.7090015,0.0001002185,0.000008589752,0.00001891075,5.775471e-7,0.000005924262,0.0003063181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2597317,"threshold_uncertainty_score":0.3856023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112205358858904,"score_gpt":0.2958698942288859,"score_spread":0.183664535369982,"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."}}