메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Design of Similar Software Classification Model through Support Vector Machine
Recommendations
Search
Questions

서포트 벡터 머신을 이용한 유사 소프트웨어 분류 모델의 설계

논문 기본 정보

Type
Academic journal
Author
Hyun-il Lim (경남대학교)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.21 No.3 KCI Accredited Journals
Published
2020.3
Pages
569 - 577 (9page)
DOI
10.9728/dcs.2020.21.3.569

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Design of Similar Software Classification Model through Support Vector Machine
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
For the efficient use of computing environments, software analysis is becoming an important factor. In this paper, we design and propose a model that can classify similar software through support vector machine. We propose a code analysis method for expressing the characteristics of the software as input data and design a similar software classification model of support vector machines. The accuracy of similar software classification was 93.7% in the evaluation experiments with real-world Java applications. From the results of the experiment, we can confirm that the software code data proposed in this paper can be effectively used as data for representing the characteristics of software and that the proposed similar software classification models using support vector machine can be applied in software analysis. The proposed code analysis method is expected to be applied to various areas such as big data, artificial intelligence and machine learning for software analysis.
#코드 분석 #자바 바이트코드 #유사 소프트웨어 분류 #소프트웨어 분석 #서포트 벡터 머신 #Code analysis #Java bytecode #Similar software classification #Software analysis #Support vector machine

Contents

[요약]
[Abstract]
Ⅰ. 서론
Ⅱ. 서포트 벡터 머신을 이용한 학습
Ⅲ. 소프트웨어 특성 데이터 분석
Ⅳ. 서포트 벡터 머신을 이용한 소프트웨어 분류 모델 설계
Ⅴ. 실험
Ⅵ. 결론
참고문헌

References (17)

Add References
Q. U. Ain / 2019 / A Systematic Review on Code Clone Detection / IEEE Access 7:86121~86144 google schola Dhavleesh Rattan / 2013 / Software clone detection: A systematic review / Information and Software Technology 55(7):1165~1199 google schola Clemens Kolbitsch / 2009 / Effective and efficient malware detection at the end host / Proceedings of the 18th conference on USENIX security symposium :51~366 google schola Andrew Walenstein / 2006 / The Software Similarity Problem in Malware Analysis / Dagstuhl Seminar Proceedings, Duplication, Redundancy, and Similarity in Software google schola Abdullah Sheneamer / 2016 / A Survey of Software Clone Detection Techniques / International Journal of Computer Applications 137(10):1~21 google schola

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Reduction of common mode voltage and high frequency leakage current generated by the PWM voltage source inverter using Active common-mode voltage damper
Jin-Whi Jun ,  Sang hun-Lee ,  Sung-Jun Pa and others 3 Power Electronics Conference 1999 .11
Reduction of common mode voltage and high frequency leakage current generated by the PWM voltage source inverter using common mode voltage damper
Jin-whi Jun ,  Sung-Jun Pa ,  k and others 2 Power Electronics Conference 1999 .07
Similarity Analysis of Programs through Linear Regression of Code Distribution
Hyun-il Lim Journal of Digital Contents Society 2018 .07
소프트웨어 품질 평가를 위한 도구 기술
정재룡 The Magazine of the IEEE 2023 .08
Automated Test Case Generation for Algorithmic Codes based on Deep Learning
Dogyu Kim ,  Mingi Jeon ,  Sang-Ki Ko 한국정보과학회 학술발표논문집 2023 .06

Recently viewed articles

A Study on the Implications for Pre-Service Teacher Training through Analysing Teaching Practice of Pre-Service Science Teachers of the UK
Kew-Cheol Shim, 송신철, Keith Hicksundefined2017
 The implications of exercising gratitude in moral education
추병완2015
 Study on An Jin-Kyung’s ‘Social Intercourse’
정창열2018
 신복음주의 비판
김의환The Presbyterian General Assembly Thelogical Seminary1974.09

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2020-004-000541084