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  2. Details for: Perspectives on data science for software engineering /
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Perspectives on data science for software engineering / edited by Tim Menzies, Laurie Williams, Thomas Zimmermann.

Material type: TextTextPublication details: USA : Elsevier, 2016.Description: xxix, 378 pages : illustrations ; 23 cmISBN:
  • 9780128042069
Subject(s):
  • COMPUTERS / General
  • Software engineering
LOC classification:
  • QA 76.758 .P467 2016
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Item type Current library Call number Status Barcode
Books Books College Library Graduate Section QA 76.758 .P467 2016 (Browse shelf(Opens below)) Available C20893
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QA 76.73.S67 .F296 2015 SQL tricks / QA 76.73.S67 .L56 2016 Data analysis using SQL and Excel / QA 76.75 .D747 2012 Multimedia demystified / QA 76.758 .P467 2016 Perspectives on data science for software engineering / QA 76.76.A65 .A38 2014 Oracle Fusion applications development and extensibility handbook / QA 76.76.A65 .B374 2015 Android app development for dummies, 3rd edition / QA 76.76.A65 .P7644 2012 Professional Android programming with Mono for Android and .NET/C#. /

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    by Kim, Seung Oh.
  • 1220 Factors affecting selected Korean parents' choice of SISC over other international schools /
    by Kim, You Kyum.
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Perspectives on data science for software engineering /

APA

(2016). Perspectives on data science for software engineering. USA: Elsevier.

Chicago

2016. Perspectives on data science for software engineering. USA: Elsevier.

Harvard

(2016). Perspectives on data science for software engineering. USA: Elsevier.

MLA

Perspectives on data science for software engineering. USA: Elsevier. 2016.

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Southville International School and Colleges Library

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