A Proposal of Data Dependence-Based Metrics for Evaluating Fault Injection Risk

A Proposal of Data Dependence-Based Metrics for Evaluating Fault Injection Risk

This paper proposes metrics for evaluating the risk of fault injection through a code change. The proposed metrics focus on the data dependence via variables and quantify the extent to which the code change would influence. The empirical study using 7 open source projects shows that the proposed met...

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Veröffentlicht in:Computer Software 2019/10/25, Vol.36(4), pp.4_32-4_38
Hauptverfasser: KAWAKAMI, Takuya, AMAN, Hirohisa, KAWAHARA, Minoru
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Dependence
Risk assessment
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container_end_page 4_38
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container_title Computer Software
container_volume 36
creator KAWAKAMI, Takuya
AMAN, Hirohisa
KAWAHARA, Minoru
description This paper proposes metrics for evaluating the risk of fault injection through a code change. The proposed metrics focus on the data dependence via variables and quantify the extent to which the code change would influence. The empirical study using 7 open source projects shows that the proposed metrics are useful explanatory variables together with conventional metrics in random forest models to predict fault injection commits.
doi_str_mv 10.11309/jssst.36.4_32
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title A Proposal of Data Dependence-Based Metrics for Evaluating Fault Injection Risk
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