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A large-scale study of call graph-based impact prediction using mutation testing.

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Title: A large-scale study of call graph-based impact prediction using mutation testing.
Authors: Musco, Vincenzo1, vincenzo.musco@inria.fr, Monperrus, Martin1, martin.monperrus@univ-lille1.fr, Preux, Philippe1, philippe.preux@univ-lille3.fr
Source: Software Quality Journal; Sep2017, Vol. 25 Issue 3, p921-950, 30p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 124297308
AccessLevel: 2
PubType: Academic Journal
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  Data: A large-scale study of call graph-based impact prediction using mutation testing.
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  Data: <searchLink fieldCode="AU" term="%22Musco%2C+Vincenzo%22">Musco, Vincenzo</searchLink><relatesTo>1</relatesTo>, <i>vincenzo.musco@inria.fr</i><br /><searchLink fieldCode="AU" term="%22Monperrus%2C+Martin%22">Monperrus, Martin</searchLink><relatesTo>1</relatesTo>, <i>martin.monperrus@univ-lille1.fr</i><br /><searchLink fieldCode="AU" term="%22Preux%2C+Philippe%22">Preux, Philippe</searchLink><relatesTo>1</relatesTo>, <i>philippe.preux@univ-lille3.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Software+Quality+Journal%22">Software Quality Journal</searchLink>; Sep2017, Vol. 25 Issue 3, p921-950, 30p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=124297308
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      – Type: doi
        Value: 10.1007/s11219-016-9332-8
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      – Code: eng
        Text: English
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        PageCount: 30
        StartPage: 921
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      – TitleFull: A large-scale study of call graph-based impact prediction using mutation testing.
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            NameFull: Musco, Vincenzo
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              M: 09
              Text: Sep2017
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