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A Bio-Inspired Approach to Selective Inheritance Modeling

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.8 No.1 (2014.01)바로가기
  • 페이지
    pp.63-74
  • 저자
    Darin Hamouda, Said Ghoul, Hanan Hardan
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A217903

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원문정보

초록

영어
The conventional inheritance concept adopted in the current Object Oriented Programming (OOP) was applied more than three decades ago. It is acting on "is-a" hierarchy model, and has some defects; while OOP is trying to be more close to the real life, it is still far from genetics principles. Adopted inheritance concept means that the child class can inherit, and get everything that is public in the parent class automatically. This process has solved many problems, but it does not simulate what is really happening in our life, where each object can gain just the needed properties from the parent class. So, in simple words, conventional inheritance is not selective and is generating identical objects. One of introduced solutions was the selective inheritance. But, while conventional inheritance acts on “is-a” hierarchy model, the works that introduced the selective inheritance were also done on this model and still suffers from some problems. The inspiration from the “real life” genetics has led us to a selective inheritance acting upon a “Composed by” model rather than the “is-a” model, where the properties are classified into several classes according to "Composed by" relation. This paper proposes a Genetic approach to a new model for selective inheritance that is replacing the “is-a” hierarchy model by a “Composed by” one, which reduces the complexity and makes each object has its own definition. After that, it proposes a language extension to be adopted in any object oriented programming language.

목차

Abstract
 1. Introduction
 2. Similar Works on Selective Inheritance Approaches
  2.1. Selective Inheritance at Class Level
  2.2. Selective Inheritance at Object Level
  2.3. The Presented Work
 3. A Genetic Approach to Inheritance Modeling
  3.1. New Definitions
  3.2. Genetic Class (Genome) Modeling
  3.3. View (Genotype) and Instance (Phenotype) Modeling
  3.4. View Model Interpretation – Selective Inheritance Process
 4. Evaluation
  4.1. Contribution
  4.2. Related Works Comparison
  4.3 Application Areas
 5. Conclusion
 References

키워드

Bio-inspired systems modeling Is-a hierarchy model composed-by hierarch model selective inheritance

저자

  • Darin Hamouda [ Faculty of Information Technology, Philadelphia University, Amman, Jordan ]
  • Said Ghoul [ Faculty of Information Technology, Philadelphia University, Amman, Jordan ]
  • Hanan Hardan [ Faculty of Information Technology, Philadelphia University, Amman, Jordan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.8 No.1

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