The art and science of analyzing software data
The art and science of analyzing software data
edited by Christian Bird, Tim Menzies and Thomas Zimmermann.
- New York : Morgan Kaufmann, ©2015
- xxiii, 660 p. : ill. ; 24 cm
Includes bibliographical references and index.
1. TUTORIAL-TECHNIQUES -- 2. DATA/PROBLEM FOCUSSED -- 3. STORIES FROM THE TRENCHES -- 4. ADVANCED TOPICS -- 5. DATA ANALYSIS AT SCALE (BIG DATA)
A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.
9780124115194
2015938356
Data mining.
Computer software--Data processing.
Electronic data processing.
Softwareentwicklung
Data Mining
Datenanalyse
QA76.6 / .A765 2015
006.312 / BIR-A
Includes bibliographical references and index.
1. TUTORIAL-TECHNIQUES -- 2. DATA/PROBLEM FOCUSSED -- 3. STORIES FROM THE TRENCHES -- 4. ADVANCED TOPICS -- 5. DATA ANALYSIS AT SCALE (BIG DATA)
A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.
9780124115194
2015938356
Data mining.
Computer software--Data processing.
Electronic data processing.
Softwareentwicklung
Data Mining
Datenanalyse
QA76.6 / .A765 2015
006.312 / BIR-A