Earticle

초록

영어

Software reuse significantly reduce the costs of software production in the field of open-source software (OSS) development and lead to produce more reliable software systems. Software metrics have been proposed as indicators of software quality factors such as reusability. However, few empirical research papers have validated the relationship between components reusability and software metrics. This research aims to validate Chidamber and Kemerer (CK) metrics as predictors of software reusability. In order to achieve this goal, an empirical study is conducted to validate metrics in classifying two groups of components: library (reuse-prone) and non-library (less reuse-prone). A nearest neighbor’s technique is used to classify library and application components using object-oriented software metrics. The approach is applied to a number of library and application systems available online. The conducted nearest neighbors models have produced acceptable classification. The results provide evidence of using metrics as surrogates of software reusability when models are evaluated using F-measure. CK metrics can be used to measure component reuse-proneness and can be used to differentiate between library and application components. A nearest neighbor’s technique can be used to identify the reuse-prone components in open-source application.

목차

Abstract
 1. Introduction
 2. Code Reuse in the OSS Field
 3. Research Methodology
  3.1. Experiment Design
  3.2. The Dependent Variable
  3.3. Independent Variables
 4. Machine Learning Algorithm—kNN
 5. KNN Results and Analysis
 6. Threats to Validity
 7. Conclusions and Future Work
 Acknowledgement
 References

키워드

저자

• Raed Shatnawi [ Associate Professor Software Engineering Department Jordan University of Science and Technology Irbid, Jordan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605