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An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis

Vincenzo Musco
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Philippe Preux

Abstract

In software engineering, error impact analysis consists in predicting the software elements (e.g. modules, classes, methods) potentially impacted by a change. Impact analysis is required to optimize the testing effort. In this paper we present a new protocol to analyze the accuracy of impact analysis. This protocol uses mutation testing to simulate changes that introduce errors. To this end, we introduce a variant of call graphs we name the "use graph" of a software which may be computed efficiently. We apply this protocol to two open-source projects and correctly predict the impact of 30% to 49% of changes.
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Dates and versions

hal-01120913 , version 1 (27-02-2015)

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Vincenzo Musco, Martin Monperrus, Philippe Preux. An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. Tenth IEEE/ACM International Workshop on Automation of Software Test, May 2015, Florence, Italy. ⟨10.1109/AST.2015.20⟩. ⟨hal-01120913⟩
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