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Modeling Of Multidimensional Knowledge Space And Designing Of Analysis System

Posted on:2017-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:N LiuFull Text:PDF
GTID:2348330533450251Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In recent years, many industries including the Internet, software outsourcing and IT have gained growing demand for software engineering personnel. How to organize, manage and use the software engineering knowledge effectively has become a key issue, which offers help to the software engineering personnel. Although the proposition of the Software Engineering Body of Knowledge(SWEBOK) sets a standard for the effective organization and management of software engineering knowledge, there remains a problem, namely, how to apply SWEBOK to instruct software engineering employees.Based on other dimensions and the analysis of SWEBOK, this thesis builds multi-dimensional knowledge space model. In addition, this thesis makes applied analysis of this model and designs its analysis system. The main work is divided into the following three aspects:Firstly, this thesis constructs the multi-dimensional knowledge space model based on five dimensions, namely SWEBOK, related software engineeringoccupations, Cognitive Category Classification by Bloom Taxonomy, complexity of knowledge and the time it takes to learn knowledge.Secondly, on the basis of the multi-dimensional knowledge space model, this thesis applies the text similarity algorithm and frequency statistical weight methods to calculate relationship between the Java research and development jobs and the relevance of various aspects of SWEBOK, from the perspectives of SWEBOK and related software engineering occupations. Then, this thesis carries out questionnaires on Java development engineers and test engineers from other three dimensions, including Cognitive Category Classification by Bloom Taxonomy, complexity of knowledge and the time it takes to learn knowledge, which aims to obtain enough data. Based on these data and Analytic Hierarchy Process, this thesis makes a simulation experiment on the learning sequence of these three dimensions. Research on the five dimensions of multidimensional knowledge space provides guidance and helps for the software engineering students to learn SWEBOK.Finally, according to the experimental analysis of the above five dimensions, this thesis analyzes the system design and implementation. Main function modules include data preprocessing, analysis of correlation degree together with frequency statistical weight between the description of Java research and development jobs and various aspects of SWEBOK, and so on.
Keywords/Search Tags:Software Engineering, SWEBOK, Knowledge Space, Text Similarity Algorithm, Decision Algorithms, The Analysis System
PDF Full Text Request
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