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Generating Range Fixes for Software Configuration.

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Title: Generating Range Fixes for Software Configuration.
Authors: Xiong, Yingfei1 yingfei@gsd.uwaterloo.ca, Hubaux, Arnaud2 ahu@info.fundp.ac.be, She, Steven1 shshe@gsd.uwaterloo.ca, Czarnecki, Krzysztof1 kczarnec@gsd.uwaterloo.ca
Source: ICSE: International Conference on Software Engineering. Feb2012, p58-68. 11p.
Subjects: Software configuration management, Computer software, Computer operating systems, Programming languages, Boolean functions
Abstract: To prevent ill-formed configurations, highly configurable software often allows defining constraints over the available options. As these constraints can be complex, fixing a configuration that violates one or more constraints can be challenging. Although several fix-generation approaches exist, their applicability is limited because (1) they typically generate only one fix, failing to cover the solution that the user wants; and (2) they do not fully support non-Boolean constraints, which contain arithmetic, inequality, and string operators. This paper proposes a novel concept, range fix, for software configuration. A range fix specifies the options to change and the ranges of values for these options. We also design an algorithm that automatically generates range fixes for a violated constraint. We have evaluated our approach with three different strategies for handling constraint interactions, on data from five open source projects. Our evaluation shows that, even with the most complex strategy, our approach generates complete fix lists that are mostly short and concise, in a fraction of a second. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Generating Range Fixes for Software Configuration.
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  Data: <searchLink fieldCode="AR" term="%22Xiong%2C+Yingfei%22">Xiong, Yingfei</searchLink><relatesTo>1</relatesTo><i> yingfei@gsd.uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Hubaux%2C+Arnaud%22">Hubaux, Arnaud</searchLink><relatesTo>2</relatesTo><i> ahu@info.fundp.ac.be</i><br /><searchLink fieldCode="AR" term="%22She%2C+Steven%22">She, Steven</searchLink><relatesTo>1</relatesTo><i> shshe@gsd.uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Czarnecki%2C+Krzysztof%22">Czarnecki, Krzysztof</searchLink><relatesTo>1</relatesTo><i> kczarnec@gsd.uwaterloo.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. Feb2012, p58-68. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Software+configuration+management%22">Software configuration management</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+operating+systems%22">Computer operating systems</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Boolean+functions%22">Boolean functions</searchLink>
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  Data: To prevent ill-formed configurations, highly configurable software often allows defining constraints over the available options. As these constraints can be complex, fixing a configuration that violates one or more constraints can be challenging. Although several fix-generation approaches exist, their applicability is limited because (1) they typically generate only one fix, failing to cover the solution that the user wants; and (2) they do not fully support non-Boolean constraints, which contain arithmetic, inequality, and string operators. This paper proposes a novel concept, range fix, for software configuration. A range fix specifies the options to change and the ranges of values for these options. We also design an algorithm that automatically generates range fixes for a violated constraint. We have evaluated our approach with three different strategies for handling constraint interactions, on data from five open source projects. Our evaluation shows that, even with the most complex strategy, our approach generates complete fix lists that are mostly short and concise, in a fraction of a second. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 58
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      – SubjectFull: Computer software
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      – SubjectFull: Computer operating systems
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      – SubjectFull: Boolean functions
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            – D: 01
              M: 02
              Text: Feb2012
              Type: published
              Y: 2012
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