{"id":"W2794757881","doi":"10.1145/3178315.3178324","title":"Stakeholder Concern-Driven Requirements Analytics","year":2018,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Requirements management; Computer science; Requirements analysis; Requirements engineering; Analytics; Traceability; Business requirements; Process (computing); Stakeholder; Requirements elicitation; Process management; Requirement; Risk analysis (engineering); Business process; Software engineering; Engineering; Data science; Software; Work in process; Business","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003962596,0.0004301916,0.000365192,0.0003945325,0.0001788433,0.0003044085,0.002935859,0.0001802715,0.00009412774],"category_scores_gemma":[0.1726803,0.0004548155,0.000120953,0.001172102,0.0001165894,0.0007581299,0.001195716,0.0004117496,0.0004223693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166815,"about_ca_system_score_gemma":0.0001347258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003094507,"about_ca_topic_score_gemma":0.000003693169,"domain_scores_codex":[0.9968555,0.00003188832,0.00043345,0.0008042849,0.0008712764,0.001003608],"domain_scores_gemma":[0.9564139,0.03997068,0.0001059997,0.002640261,0.0004622581,0.0004069021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001093727,0.0001013916,0.9705607,0.0001673457,0.0001980215,0.0001247664,0.00106329,0.004330319,0.004326396,0.001704442,0.004306442,0.01310595],"study_design_scores_gemma":[0.002028947,0.0007808103,0.8997862,0.0005571423,0.00006895717,0.000114863,0.00002664457,0.02765641,0.04083537,0.0001933072,0.0251307,0.002820654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3394351,0.0002779884,0.6545016,0.0003396182,0.001563254,0.0003274027,0.00001864159,0.003527138,0.000009258555],"genre_scores_gemma":[0.8287223,0.00001214213,0.170451,0.0001341161,0.0004454363,0.00003346298,0.00001082361,0.00007679065,0.0001138905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4892872,"threshold_uncertainty_score":0.9997904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09397902749149702,"score_gpt":0.3030929286087943,"score_spread":0.2091139011172973,"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."}}