{"id":"W7128469758","doi":"10.53469/jrse.2025.07(05).01","title":"Automated Validation Framework for Microservice Architectures","year":2025,"lang":"","type":"article","venue":"Journal of Research in Science and Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Microservices; Unit testing; Integration testing; Test strategy; Automation; Field (mathematics); Quality (philosophy); White-box testing; Model-based testing; Software","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":[0.01924042,0.000148399,0.00032341,0.00250438,0.0004094863,0.0007622451,0.001475296,0.0001445363,0.000001133041],"category_scores_gemma":[0.004102329,0.0001210452,0.00006959771,0.006136953,0.0004415748,0.0008297962,0.0003957073,0.0009239198,0.000001142946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760139,"about_ca_system_score_gemma":0.001651386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002651845,"about_ca_topic_score_gemma":0.000001526953,"domain_scores_codex":[0.9967326,0.00009615646,0.0007246086,0.0003774575,0.001288035,0.0007811299],"domain_scores_gemma":[0.9956884,0.001507851,0.0001531127,0.0003844722,0.002062299,0.0002038019],"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":[0.0006027055,0.000674086,0.05400124,0.01567949,0.0001889224,0.0001324883,0.02206366,0.3924345,0.09545936,0.03437561,0.00146344,0.3829246],"study_design_scores_gemma":[0.0006214661,0.0003586572,0.0349787,0.004798672,0.000007199864,0.00006790757,0.0003120539,0.9352398,0.01416437,0.007969968,0.00129856,0.0001826446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589423,0.00231827,0.2334348,0.002853397,0.001953724,0.0004154631,0.000001460646,0.000043234,0.0000373282],"genre_scores_gemma":[0.9502245,0.0002764093,0.04927244,0.00004506645,0.0001537363,0.00001058535,6.927156e-8,0.000005462437,0.00001171225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5428054,"threshold_uncertainty_score":0.7350347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331150341996654,"score_gpt":0.3853104634444818,"score_spread":0.3521954292448164,"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."}}