In　this　work,　the　adequacy　check　of　errors-in-variables　varying-coefficient　models　is　investigated　when　replicate　measurements　are　available.　Estimation　using　the　naive　method　that　ignores　measurement　errors　is　biased.　After　the　calibration　of　the　estimators　of　the　regression　coefficient　functions,　we　construct　an　empirical-process-based　test　statistic　by　the　attenuation　of　corrected　residuals.　The　asymptotic　properties　of　the　test　statistic　under　the　null　hypothesis,　global　and　various　local　alternatives　are　established.　Simulation　studies　and　real　data　analyses　reveal　that　the　proposed　test　performs　satisfactorily.　(C)　2019　Elsevier　B.V.　All　rights　reserved.