{"id":"W2061081792","doi":"10.1007/s10796-010-9230-8","title":"A business maturity model of software product line engineering","year":2010,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Software product line; Product engineering; Software development; Computer science; Software engineering; Personal software process; Capability Maturity Model; Software Engineering Process Group; Social software engineering; Product (mathematics); Systems engineering; Software development process; Software; Software construction; Engineering; Product design; 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":[0.0005695801,0.0001514412,0.0002577812,0.0002625062,0.00004062319,0.00009020268,0.0005993995,0.00009113659,2.891839e-7],"category_scores_gemma":[0.001625123,0.0001439344,0.00004080792,0.0004459106,0.00002752407,0.002835859,0.0001211208,0.0002332645,0.000006301333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039512,"about_ca_system_score_gemma":0.00008559388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113107,"about_ca_topic_score_gemma":2.719741e-7,"domain_scores_codex":[0.9988859,0.00001746824,0.0004675706,0.0001368606,0.0002809072,0.0002113394],"domain_scores_gemma":[0.9986111,0.00007986033,0.0002331438,0.0006043542,0.0004119777,0.00005957384],"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":[0.000003022844,0.00000509965,0.00008686315,0.0002535404,0.00001121356,2.659651e-7,0.0005862347,0.9878983,0.001092411,0.00315648,0.0005372347,0.006369298],"study_design_scores_gemma":[0.0002012025,0.00001011247,0.0004593295,0.00004692976,0.000004258816,0.00001805137,0.00004219125,0.9917356,0.003135418,0.0004265709,0.003677904,0.0002423847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004684068,0.0001008608,0.9903325,0.00004768489,0.003812514,0.0002456091,0.00001272323,0.0007214125,0.00004259141],"genre_scores_gemma":[0.1630779,0.00000509201,0.8367742,0.00001212669,0.0000528676,0.00002998887,0.000006714042,0.000007938038,0.00003319246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1583938,"threshold_uncertainty_score":0.5869474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711098420757594,"score_gpt":0.2268226206795866,"score_spread":0.2097116364720106,"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."}}