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

Vincenzo Musco; Martin Monperrus; Philippe Preux

doi:10.1109/AST.2015.20

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

Vincenzo Musco, Martin Monperrus, Philippe Preux

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings - 10th International Workshop on Automation of Software Test, AST 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	60-64
Number of pages	5
ISBN (Electronic)	9781467370226
DOIs	https://doi.org/10.1109/AST.2015.20
State	Published - Jul 23 2015
Externally published	Yes
Event	10th International Workshop on Automation of Software Test, AST 2015 - Florence, Italy Duration: May 23 2015 → May 24 2015

Publication series

Name	Proceedings - 10th International Workshop on Automation of Software Test, AST 2015

Other

Other	10th International Workshop on Automation of Software Test, AST 2015
Country/Territory	Italy
City	Florence
Period	5/23/15 → 5/24/15

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1109/AST.2015.20

Cite this

Musco, V., Monperrus, M., & Preux, P. (2015). An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. In Proceedings - 10th International Workshop on Automation of Software Test, AST 2015 (pp. 60-64). Article 7166269 (Proceedings - 10th International Workshop on Automation of Software Test, AST 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AST.2015.20

Musco, Vincenzo ; Monperrus, Martin ; Preux, Philippe. / An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. Proceedings - 10th International Workshop on Automation of Software Test, AST 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 60-64 (Proceedings - 10th International Workshop on Automation of Software Test, AST 2015).

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title = "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.",

author = "Vincenzo Musco and Martin Monperrus and Philippe Preux",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th International Workshop on Automation of Software Test, AST 2015 ; Conference date: 23-05-2015 Through 24-05-2015",

year = "2015",

month = jul,

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doi = "10.1109/AST.2015.20",

language = "English (US)",

series = "Proceedings - 10th International Workshop on Automation of Software Test, AST 2015",

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Musco, V, Monperrus, M & Preux, P 2015, An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. in Proceedings - 10th International Workshop on Automation of Software Test, AST 2015., 7166269, Proceedings - 10th International Workshop on Automation of Software Test, AST 2015, Institute of Electrical and Electronics Engineers Inc., pp. 60-64, 10th International Workshop on Automation of Software Test, AST 2015, Florence, Italy, 5/23/15. https://doi.org/10.1109/AST.2015.20

An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. / Musco, Vincenzo; Monperrus, Martin; Preux, Philippe.
Proceedings - 10th International Workshop on Automation of Software Test, AST 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 60-64 7166269 (Proceedings - 10th International Workshop on Automation of Software Test, AST 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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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Musco V, Monperrus M, Preux P. An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. In Proceedings - 10th International Workshop on Automation of Software Test, AST 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 60-64. 7166269. (Proceedings - 10th International Workshop on Automation of Software Test, AST 2015). doi: 10.1109/AST.2015.20

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

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