At the IEC,Chinese experts have been contributing their expertise to international standardization.As one of them,Ma Dejun has grown from an inexperienced explorer in the field of standardization into a distinguished ...At the IEC,Chinese experts have been contributing their expertise to international standardization.As one of them,Ma Dejun has grown from an inexperienced explorer in the field of standardization into a distinguished expert driving the development of international standards in key sectors over the past 35 years.He was presented with the 2025 Lord Kelvin Award at the 89th IEC General Meeting held in New Delhi,India,in September 2025.Thus,he became the first Chinese expert to receive the highest honor bestowed by the IEC.In an exclusive interview with Ma Dejun,he reviewed his original aspiration behind his decades-long journey in international standardization,shared his experience and insights on promoting international standards,and looked forward to China's future role on the international standardiz ation stage.展开更多
The reliability of information systems(IS)is a key factor in the sustainable operation of modern digital services.However,existing assessment methods remain fragmented and are often limited to individual indicators or...The reliability of information systems(IS)is a key factor in the sustainable operation of modern digital services.However,existing assessment methods remain fragmented and are often limited to individual indicators or expert judgments.This paper proposes a hybridmethodology for a comprehensive assessment of IS reliability based on the integration of the international standard ISO/IEC 25010:2023,multicriteria analysismethods(ARAS,CoCoSo,and TOPSIS),and theXGBoostmachine learning algorithmfor missing data imputation.Thestructure of the ISO/IEC 25010 standard is used to formalize reliability criteria and subcriteria,while theAHP method allows for the calculation of their weighting coefficients based on expert assessments.The XGBoost algorithm ensures the correct filling of gaps in the source data,increasing the completeness and reliability of the subsequent assessment.The resulting weighted indicators are aggregated using threeMCDMmethods,after which an integral reliability indicator is formed as a percentage.The methodology was tested on six real-world information systems with different architectures.The results demonstrated high consistency between the ARAS,CoCoSo,and TOPSISmethods,as well as the stability of the final rating when the criterion weights vary by±10%.The proposed approach provides a reproducible,transparent,and objective assessment of information system reliability and can be used to identify system bottlenecks,make modernization decisions,and manage the quality of digital infrastructure.展开更多
文摘At the IEC,Chinese experts have been contributing their expertise to international standardization.As one of them,Ma Dejun has grown from an inexperienced explorer in the field of standardization into a distinguished expert driving the development of international standards in key sectors over the past 35 years.He was presented with the 2025 Lord Kelvin Award at the 89th IEC General Meeting held in New Delhi,India,in September 2025.Thus,he became the first Chinese expert to receive the highest honor bestowed by the IEC.In an exclusive interview with Ma Dejun,he reviewed his original aspiration behind his decades-long journey in international standardization,shared his experience and insights on promoting international standards,and looked forward to China's future role on the international standardiz ation stage.
基金the financial support of the Ministry of Science and Higher Education of the Republic of Kazakhstan,grant No.AP25793823.
文摘The reliability of information systems(IS)is a key factor in the sustainable operation of modern digital services.However,existing assessment methods remain fragmented and are often limited to individual indicators or expert judgments.This paper proposes a hybridmethodology for a comprehensive assessment of IS reliability based on the integration of the international standard ISO/IEC 25010:2023,multicriteria analysismethods(ARAS,CoCoSo,and TOPSIS),and theXGBoostmachine learning algorithmfor missing data imputation.Thestructure of the ISO/IEC 25010 standard is used to formalize reliability criteria and subcriteria,while theAHP method allows for the calculation of their weighting coefficients based on expert assessments.The XGBoost algorithm ensures the correct filling of gaps in the source data,increasing the completeness and reliability of the subsequent assessment.The resulting weighted indicators are aggregated using threeMCDMmethods,after which an integral reliability indicator is formed as a percentage.The methodology was tested on six real-world information systems with different architectures.The results demonstrated high consistency between the ARAS,CoCoSo,and TOPSISmethods,as well as the stability of the final rating when the criterion weights vary by±10%.The proposed approach provides a reproducible,transparent,and objective assessment of information system reliability and can be used to identify system bottlenecks,make modernization decisions,and manage the quality of digital infrastructure.
