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Article . 2012
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Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Article . 2012 . Peer-reviewed
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Article . 2022
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Software mining and fault prediction

Authors: Cagatay Catal;

Software mining and fault prediction

Abstract

AbstractMining software repositories (MSRs) such as source control repositories, bug repositories, deployment logs, and code repositories provide useful patterns for practitioners. Instead of using these repositories as record‐keeping ones, we need to transform them into active repositories that can guide the decision processes inside the company. By MSRs with several data mining algorithms, effective software fault prediction models can be built and error‐prone modules can be detected prior to the testing phase. We discuss numerous real‐world challenges in building accurate fault prediction models and present some solutions to these challenges. © 2012 Wiley Periodicals, Inc.This article is categorized under: Application Areas > Science and Technology

Country
Turkey
Related Organizations
Keywords

Gürültü, Roc Curves, Roc Eğrileri, Kalite Tahmini, Metrikleri, Quality Estimation, Metrics, Sınıflandırma, Noise, Classification

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Green