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Research And Analysis Of Software Process Event Stream Modeling

Posted on:2020-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q CuiFull Text:PDF
GTID:2428330578451276Subject:Systems analysis and integration
Abstract/Summary:PDF Full Text Request
Software Process Event Stream Data(software process log data)cannot be directly used in software process mining because of its multi-platform,heterogeneous and single-instance nature,and traditional business process mining algorithms can not directly use software process flow Data to dig.The processing of software process data is often processed according to the needs of people before the software process mining.There is no uniform format and content,which results in low quality of software process mining results and low availability.Therefore,this paper studies and analyzes the modeling of software process event flow and presents the SPEX and Cross-Platform extensible Software Process Event Stream(CPX-SPES)to standardize data-driven.The process of software process flow mining data format,making heterogeneous data from different platforms can be transformed into a unified standard format for heterogeneous software process data with different data patterns to establish a unified view.In order to support data-driven software process mining and other work.on this basis,the research on acquisition,analysis,audit,cleaning and transformation of software process event stream data is carried out.The influence of the data volume and the original data content and form on the data conversion rate was studied by comparing the experiment,and the correctness and availability of SPEX and CPX-SPES were proved by the experiment of software process mining.
Keywords/Search Tags:Software Process Event Stream, Meta-Model, CPX-SPES, Software Process Mining
PDF Full Text Request
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