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An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis
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.
Cited literature [5 references]
https://hal.inria.fr/hal-01120913
Contributor : Vincenzo Musco <>
Submitted on : Friday, February 27, 2015 - 5:17:02 PM
Last modification on : Friday, December 11, 2020 - 6:44:06 PM
Long-term archiving on: : Friday, May 29, 2015 - 11:15:58 AM
Contributor : Vincenzo Musco <>
Submitted on : Friday, February 27, 2015 - 5:17:02 PM
Last modification on : Friday, December 11, 2020 - 6:44:06 PM
Long-term archiving on: : Friday, May 29, 2015 - 11:15:58 AM
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