Analyzing Large-Scale OO Software by Joining Fractal and Entropy Measures
Developing large-size and complex software with good quality needs to make certain the structure mechanism of the software, and the existing solutions for this all have their limitations. This paper presents a new approach to analyzing the structure mechanism of large-scale OO software. The paper ex...
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Published in | 2016 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1310 - 1314 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Developing large-size and complex software with good quality needs to make certain the structure mechanism of the software, and the existing solutions for this all have their limitations. This paper presents a new approach to analyzing the structure mechanism of large-scale OO software. The paper explores the self-similarity between the whole and the parts of the software and the structural ordering of the software by joining fractal and entropy measures together. |
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DOI: | 10.1109/CSCI.2016.0245 |