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Volumn 14-22-May-2016, Issue , 2016, Pages 96-107

The emerging role of data scientists on software development teams

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ENGINEERING EDUCATION; HUMAN RESOURCE MANAGEMENT; LEARNING SYSTEMS; PERSONNEL TRAINING; SOFTWARE ENGINEERING;

EID: 84971418613     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2884781.2884783     Document Type: Conference Paper
Times cited : (208)

References (49)
  • 1
    • 84880047928 scopus 로고    scopus 로고
    • Software analytics: so what
    • July
    • T. Menzies and T. Zimmermann, "Software Analytics: So What," IEEE Software, vol. 30, no. 4, pp. 31-37, July 2013
    • (2013) IEEE Software , vol.30 , Issue.4 , pp. 31-37
    • Menzies, T.1    Zimmermann, T.2
  • 3
    • 84862695896 scopus 로고    scopus 로고
    • Building data science teams
    • D. Patil, Building Data Science Teams, O'Reilly, 2011
    • (2011) O'Reilly
    • Patil, D.1
  • 6
    • 84925149283 scopus 로고    scopus 로고
    • The practice and future of release engineering: A roundtable with three release engineers
    • B. Adams, S. Bellomo, C. Bird, T. Marshall-Keim, F. Khomh and K. Moir, "The Practice and Future of Release Engineering: A Roundtable with Three Release Engineers," IEEE Software, vol. 32, no. 2, pp. 42-49, 2015
    • (2015) IEEE Software , vol.32 , Issue.2 , pp. 42-49
    • Adams, B.1    Bellomo, S.2    Bird, C.3    Marshall-Keim, T.4    Khomh, F.5    Moir, K.6
  • 9
    • 84866661252 scopus 로고    scopus 로고
    • Data Scientist: The Sexiest Job of the 21st Century
    • OCtober
    • T. H. Davenport and D. Patil, "Data Scientist: The Sexiest Job of the 21st Century," Harvard Business Review, pp. 70-76, OCtober 2012
    • (2012) Harvard Business Review , pp. 70-76
    • Davenport, T.H.1    Patil, D.2
  • 13
    • 84971371819 scopus 로고    scopus 로고
    • Analyzing the Analyzers: An Introspective survey of data scientists and their work
    • H. D. Harris, S. P. Murphy and M. Vaisman, Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work, O'Reilly, 2013
    • (2013) O'Reilly
    • Harris, H.D.1    Murphy, S.P.2    Vaisman, M.3
  • 14
    • 84971409016 scopus 로고    scopus 로고
    • Accenture, most US companies say business analytics still future goal
    • Accenture, Most U.S. Companies Say Business Analytics Still Future Goal, Not Present Reality, http://newsroom.accenture.com/article-display.cfmarticle-id=4777, 2008
    • (2008) Not Present Reality
  • 25
    • 84893267530 scopus 로고    scopus 로고
    • Scaling big data mining infrastructure: The twitter experience
    • April
    • J. Lin and D. Ryaboy, "Scaling Big Data Mining Infrastructure: The Twitter Experience," SIGKDD Explorations, vol. 14, no. 2, pp. 6-19, April 2013
    • (2013) SIGKDD Explorations , vol.14 , Issue.2 , pp. 6-19
    • Lin, J.1    Ryaboy, D.2
  • 30
    • 0026494564 scopus 로고
    • The balanced scorecard- measures that drive performance
    • January/February
    • R. Kaplan and D. Norton, "The balanced scorecard- measures that drive performance," Harvard Business Review, pp. 71-80, January/February 1992
    • (1992) Harvard Business Review , pp. 71-80
    • Kaplan, R.1    Norton, D.2
  • 33
  • 42
    • 84971434390 scopus 로고    scopus 로고
    • Janitor work
    • For Big Data Scientists New York Times, Aug.
    • S. Lohr, For Big Data Scientists, "Janitor Work" is Key Hurdle to Insights, New York Times, Aug. 17, 2014 http://www.nytimes.com/2014/08/18/technology/for-bigdata-scientists-hurdle-to-insights-is-janitorwork. html?-r=1
    • (2014) Is Key Hurdle to Insights , vol.17
    • Lohr, S.1
  • 44
    • 84880056075 scopus 로고    scopus 로고
    • Leveraging the Crowd: How 48,000 Users Helped Improve Lync Performance
    • R. Musson, J. Richards, D. Fisher, C. Bird, B. Bussone and S. Ganguly, "Leveraging the Crowd: How 48,000 Users Helped Improve Lync Performance," IEEE Software, vol. 30, no. 4, pp. 38-45, 2013
    • (2013) IEEE Software , vol.30 , Issue.4 , pp. 38-45
    • Musson, R.1    Richards, J.2    Fisher, D.3    Bird, C.4    Bussone, B.5    Ganguly, S.6
  • 46
    • 84971480352 scopus 로고    scopus 로고
    • Mckinsey global institute, big data: The next frontier for innovation
    • McKinsey Global Institute, Big data: The next frontier for innovation, competition, and productivity, http://www.mckinsey.com/insights/businessfitechnology/bi g-dataffthefinext-frontier-for-innovation, 2011
    • (2011) Competition, and Productivity


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.