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Interprocedural Context-Unbounded Program Analysis Using Observation Sequences.

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Title: Interprocedural Context-Unbounded Program Analysis Using Observation Sequences.
Authors: PEIZUN LIU1, liu.pei@northeastern.edu, WAHL, THOMAS1, reps@cs.wisc.edu, REPS, THOMAS2, t.wahl@northeastern.edu
Source: ACM Transactions on Programming Languages & Systems; Dec2020, Vol. 42 Issue 4, p1-34, 34p
Database: Applied Science & Technology Source
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  Data: Interprocedural Context-Unbounded Program Analysis Using Observation Sequences.
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  Data: <searchLink fieldCode="AU" term="%22PEIZUN+LIU%22">PEIZUN LIU</searchLink><relatesTo>1</relatesTo>, <i>liu.pei@northeastern.edu</i><br /><searchLink fieldCode="AU" term="%22WAHL%2C+THOMAS%22">WAHL, THOMAS</searchLink><relatesTo>1</relatesTo>, <i>reps@cs.wisc.edu</i><br /><searchLink fieldCode="AU" term="%22REPS%2C+THOMAS%22">REPS, THOMAS</searchLink><relatesTo>2</relatesTo>, <i>t.wahl@northeastern.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Programming+Languages+%26+Systems%22">ACM Transactions on Programming Languages & Systems</searchLink>; Dec2020, Vol. 42 Issue 4, p1-34, 34p
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        Value: 10.1145/3418583
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      – Code: eng
        Text: English
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        PageCount: 34
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      – TitleFull: Interprocedural Context-Unbounded Program Analysis Using Observation Sequences.
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            NameFull: PEIZUN LIU
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              Text: Dec2020
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