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

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Other Title
  • データ依存関係に着目したフォールト混入リスク評価メトリクスの提案
  • データ イソン カンケイ ニ チャクモク シタ フォールト コンニュウ リスク ヒョウカ メトリクス ノ テイアン

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Description

<p>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.</p>

Journal

  • Computer Software

    Computer Software 36 (4), 4_32-4_38, 2019-10-25

    Japan Society for Software Science and Technology

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