Mixed Source Software Quality Model And Measurement Method Research

In recent years,Mixed Source Software(MSS)has been rapidly developed and widely applied in the whole world.Mixed Source Software has become an important part of the software.As the Mixed Source Software contains independent code?open source code and other different codes,the MSS has higher diversity and complexity.Therefore,quality measurement is the great difference between traditional software and Mixed Source Software.In order to measure the MSS,it is very essential to establish the measurement model?method and tool.First of all,this thesis analyzes the domestic and foreign software quality models,summarizes the software quality characteristics,and proposes the Mixed Source Software quality model.Afterwards,based on some decision theories in operational research method,it comprehensively uses the Analytic Hierarchy Process,the Power Method and the Linear Method to design the “Analytic Hierarchy-Power-Linear” measurement algorithm system.The algorithm system is flexibly support multi-index evaluation,according to different requirements to realize customizable measurement evaluation.Finally,with the Mixed Source Software quality model and “Analytic Hierarchy-Power-Linear” measurement algorithm,this thesis develops a customizable and extensible Mixed Source Software Quality Measurement Platform(MiSP).Moreover,this thesis measures the UbuntuKylin Operating System by MiSP for verifying the feasibility of model,the effectiveness of method,and the practicability of tool.MiSP achieves the multi-people?multi-index measure evaluation with supporting measure customization and extension.MiSP improves the practicability of measure.MiSP has great practical significance on promotion of software metrics research and the Mixed Source Software quality.