Assessment of classification techniques on predicting success or failure of Software reusability
Nahid Hajizadeh, Manijeh Keshtgari, Marzieh Ahmadzadeh
TL;DR
This paper evaluates various classification techniques to predict the success or failure of software reusability, aiming to improve decision-making in software engineering.
Contribution
It provides a comparative analysis of classification methods specifically applied to software reusability prediction, highlighting the most effective approaches.
Findings
Certain classification techniques outperform others in accuracy.
The study identifies key features influencing reusability success.
Results suggest improved prediction models can aid software development.
Abstract
Assessment of classification techniques on predicting success or failure of Software reusability
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Taxonomy
TopicsSoftware Engineering Research · Software Reliability and Analysis Research · Software Testing and Debugging Techniques