Object Oriented-Based Metrics to Predict Fault Proneness in Software Design

Fuente: arXiv
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Auteurs principaux: Mir, Areeb Ahmed, Raees, Muhammad, Ahmed, Afzal
Format: Preprint
Publié: 2025
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author Mir, Areeb Ahmed
Raees, Muhammad
Ahmed, Afzal
author_facet Mir, Areeb Ahmed
Raees, Muhammad
Ahmed, Afzal
contents In object-oriented software design, various metrics predict software systems' fault proneness. Fault predictions can considerably improve the quality of the development process and the software product. In this paper, we look at the relationship between object-oriented software metrics and their implications on fault proneness. Such relationships can help determine metrics that help determine software faults. Studies indicate that object-oriented metrics are indeed a good predictor of software fault proneness, however, there are some differences among existing work as to which metric is most apt for predicting software faults.
format Preprint
id arxiv_https___arxiv_org_abs_2504_08230
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Object Oriented-Based Metrics to Predict Fault Proneness in Software Design
Mir, Areeb Ahmed
Raees, Muhammad
Ahmed, Afzal
Software Engineering
In object-oriented software design, various metrics predict software systems' fault proneness. Fault predictions can considerably improve the quality of the development process and the software product. In this paper, we look at the relationship between object-oriented software metrics and their implications on fault proneness. Such relationships can help determine metrics that help determine software faults. Studies indicate that object-oriented metrics are indeed a good predictor of software fault proneness, however, there are some differences among existing work as to which metric is most apt for predicting software faults.
title Object Oriented-Based Metrics to Predict Fault Proneness in Software Design
topic Software Engineering
url https://arxiv.org/abs/2504.08230