{"id":"W3098985043","doi":"10.1007/978-3-319-14130-5_2","title":"Recovering Architectural Variability of a Family of Product Variants","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Software product line; Reuse; Product (mathematics); Software; Domain (mathematical analysis); Architectural pattern; Set (abstract data type); Software development; Software architecture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007148209,0.0007982551,0.0005979953,0.001442042,0.0003252113,0.0009143275,0.0008390081,0.0008221811,0.0007215171],"category_scores_gemma":[0.00439281,0.0005758634,0.00103809,0.001351876,0.0004800052,0.001002813,0.000707558,0.001047878,0.0003043529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081259,"about_ca_system_score_gemma":0.0003545876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515866,"about_ca_topic_score_gemma":0.00130611,"domain_scores_codex":[0.9990927,0.0001253315,0.00004299806,0.0002815471,0.0003945154,0.00006292622],"domain_scores_gemma":[0.9965186,0.001342909,0.0005077324,0.001038799,0.0004948936,0.00009702911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009995543,0.0001774463,0.04351445,0.0002649744,0.0003081878,0.0025464,0.0007012727,0.3433184,0.1166678,0.02075656,0.003183804,0.4675612],"study_design_scores_gemma":[0.00001718541,0.0001695242,0.008912653,0.0000244059,0.00008586062,0.0009795739,0.000130096,0.9578236,0.01264178,0.0167204,0.002463244,0.00003164017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4962469,0.0003928394,0.4994884,0.00007366375,0.00002757942,0.00002822034,0.0004265476,0.001806099,0.00150984],"genre_scores_gemma":[0.894262,0.0001348248,0.1036634,0.0000156734,0.00001439374,0.00002129187,0.0006725494,0.0003347576,0.0008809604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001515866,"threshold_uncertainty_score":0.003780365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303828813212605,"score_gpt":0.2712042318759455,"score_spread":0.2381659437438194,"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."}}