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A Bio-Inspired Approach to Selective Inheritance Modeling

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

저자정보

  • 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

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