{"id":"W1896745824","doi":"10.1109/compsac.2015.255","title":"Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques","year":2015,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Software as a service; Computer science; XPath; Cloud computing; Multitenancy; Scalability; XML; Flexibility (engineering); Software deployment; Distributed computing; Database; Feature model; Feature (linguistics); Software engineering; Software; XML database; Software development; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581182,0.001409475,0.001056014,0.001747346,0.001159571,0.001758418,0.001506245,0.0010191,0.001778598],"category_scores_gemma":[0.0040096,0.0007493432,0.002143684,0.001301666,0.000402938,0.001713671,0.001152752,0.001053016,0.0006629536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331653,"about_ca_system_score_gemma":0.001537186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353272,"about_ca_topic_score_gemma":0.01475521,"domain_scores_codex":[0.998382,0.0003361603,0.0001783475,0.000403097,0.0005441249,0.0001562229],"domain_scores_gemma":[0.997044,0.00120775,0.000443518,0.000636265,0.0005192655,0.0001491405],"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":[0.0004203449,0.0005089631,0.009746416,0.0003133842,0.0002887863,0.001227749,0.0008048735,0.4888272,0.05854557,0.0170167,0.006792326,0.4155077],"study_design_scores_gemma":[0.00001376268,0.00003849693,0.0005590291,0.000009511491,0.0000240158,0.0001266055,0.00006353503,0.9867283,0.007925974,0.00232751,0.002159348,0.0000239172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02439663,0.0000688321,0.9678636,0.0001116573,0.00001914562,0.0001384933,0.0001410956,0.006138678,0.001121931],"genre_scores_gemma":[0.2668402,0.00010052,0.7300016,0.0001095545,0.00001248435,0.0001649058,0.0009175374,0.0004650685,0.001388096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01353272,"threshold_uncertainty_score":0.02690792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377308593204856,"score_gpt":0.2797874996146605,"score_spread":0.2260144136826119,"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."}}