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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

10. Assessing the Reusability of Source Code Components

verfasst von : Themistoklis Diamantopoulos, Andreas L. Symeonidis

Erschienen in: Mining Software Engineering Data for Software Reuse

Verlag: Springer International Publishing

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Abstract

In the context of reusing components from online repositories, assessing the quality and specifically the reusability of source code before reusing it poses a major challenge for the research community. Although several quality assessment systems have been proposed, most of them do not focus on reusability. In this chapter, we design a reusability score using as ground truth information from GitHub stars and forks, which indicate the extent to which software components are adopted/preferred by developers. Our methodology includes applying different machine learning algorithms in order to produce reusability estimation models at both class and package levels. Finally, evaluating our methodology indicates that it can be effective for assessing reusability as perceived by developers.

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Vorheriges Kapitel Providing Reusability-Aware Recommendations
Nächstes Kapitel Conclusion
Fußnoten
1
According to this method, the optimal degree is the one for which there is no significant decrease in the square sum of residuals when increasing the order by one.
 
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Metadaten
Titel
Assessing the Reusability of Source Code Components
verfasst von
Themistoklis Diamantopoulos
Andreas L. Symeonidis
Copyright-Jahr
2020
Buch
Mining Software Engineering Data for Software Reuse

Print ISBN: 978-3-030-30105-7

Electronic ISBN: 978-3-030-30106-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-30106-4_10

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