{"id":"W2727579225","doi":"","title":"Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques.","year":2015,"lang":"en","type":"article","venue":"COMPSAC Workshops","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Software as a service; Computer science; Cloud computing; Multitenancy; XPath; XML; Scalability; Flexibility (engineering); Software deployment; Feature model; Feature (linguistics); Database; Distributed computing; Software engineering; Software; Data mining; XML database; Software development; World Wide Web; Operating system","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":[0.0003367269,0.0003125159,0.0003002369,0.000188443,0.0002071585,0.000299289,0.0007695935,0.0001455968,0.000002612724],"category_scores_gemma":[0.00001152363,0.0002393431,0.00007154186,0.0004470581,0.00006486828,0.0003115108,0.0005230219,0.0003602713,0.000004552056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000782179,"about_ca_system_score_gemma":0.0001563317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119795,"about_ca_topic_score_gemma":0.0001060482,"domain_scores_codex":[0.9982041,0.00008423176,0.000274486,0.0006104221,0.0003342811,0.0004924792],"domain_scores_gemma":[0.9986814,0.00006813829,0.0001067637,0.0006564123,0.0001593219,0.0003279271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002473832,0.0007419034,0.003735422,0.0004982279,0.0002499522,0.0005570601,0.01214848,0.4504428,0.03051146,0.005675511,0.0007927437,0.494399],"study_design_scores_gemma":[0.0006403261,0.00005578491,0.00005552917,0.0003171572,0.0000176659,0.0000772563,0.0002567363,0.9912357,0.004533045,0.0003504463,0.002098857,0.0003614959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05303267,0.0008199822,0.94332,0.001460341,0.0003539281,0.0003094023,0.00000390253,0.000524565,0.00017522],"genre_scores_gemma":[0.5875053,0.000007574225,0.410858,0.001474033,0.00009466971,0.00001501269,0.000006316748,0.00002352315,0.00001559493],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5407929,"threshold_uncertainty_score":0.976013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454378746071396,"score_gpt":0.279298556398869,"score_spread":0.2247547689381551,"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."}}