-
1
-
-
84880047928
-
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
-
Building data science teams
-
D. Patil, Building Data Science Teams, O'Reilly, 2011
-
(2011)
O'Reilly
-
-
Patil, D.1
-
6
-
-
84925149283
-
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
-
7
-
-
84860519166
-
Interactions with big data analytics
-
D. Fisher, R. DeLine, M. Czerwinski and S. M. Drucker, "Interactions with big data analytics," Interactions, vol. 19, no. 3, pp. 50-59, 2012
-
(2012)
Interactions
, vol.19
, Issue.3
, pp. 50-59
-
-
Fisher, D.1
DeLine, R.2
Czerwinski, M.3
Drucker, S.M.4
-
9
-
-
84866661252
-
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
-
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
-
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
-
-
-
16
-
-
83255170935
-
Software Analytics as a Learning Case in Practice: Approaches and Experiences
-
D. Zhang, Y. Dang, J.-G. Lou, S. Han, H. Zhang and T. Xie, "Software Analytics as a Learning Case in Practice: Approaches and Experiences," in MALETS '11: Proceedings International Workshop on Machine Learning Technologies in Software Engineering, 2011
-
(2011)
MALETS '11: Proceedings International Workshop on Machine Learning Technologies in Software Engineering
-
-
Zhang, D.1
Dang, Y.2
Lou, J.-G.3
Han, S.4
Zhang, H.5
Xie, T.6
-
18
-
-
84893540464
-
Software Analytics for Incident Management of Online Services: An experience report
-
J.-G. Lou, Q. W. Lin, R. Ding, Q. Fu, D. Zhang and T. Xie, "Software Analytics for Incident Management of Online Services: An Experience Report," in ASE '13: Proceedings of the Internation Conference on Automated Software Engineering, 2013
-
(2013)
ASE '13: Proceedings of the Internation Conference on Automated Software Engineering
-
-
Lou, J.-G.1
Lin, Q.W.2
Ding, R.3
Fu, Q.4
Zhang, D.5
Xie, T.6
-
19
-
-
83255170945
-
The Inductive Software Engineering Manifesto: Principles for industrial data mining
-
T. Menzies, C. Bird, T. Zimmermann, W. Schulte and E. Kocaganeli, "The Inductive Software Engineering Manifesto: Principles for Industrial Data Mining," in MALETS '11: Proceedings International Workshop on Machine Learning Technologies in Software Engineering, 2011
-
(2011)
MALETS '11: Proceedings International Workshop on Machine Learning Technologies in Software Engineering
-
-
Menzies, T.1
Bird, C.2
Zimmermann, T.3
Schulte, W.4
Kocaganeli, E.5
-
22
-
-
84884200048
-
Software analytics in practice
-
September
-
D. Zhang, S. Han, Y. Dang, J.-G. Lou, H. Zhang and T. Xie, "Software Analytics in Practice," IEEE Software, vol. 30, no. 5, pp. 30-37, September 2013
-
(2013)
IEEE Software
, vol.30
, Issue.5
, pp. 30-37
-
-
Zhang, D.1
Han, S.2
Dang, Y.3
Lou, J.-G.4
Zhang, H.5
Xie, T.6
-
25
-
-
84893267530
-
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
-
26
-
-
77954709174
-
Data warehousing and analytics infrastructure at facebook
-
New York, NY
-
A. Thusoo, Z. Shao, S. Anthony, D. Borthakur, N. Jain, J. S. Sen, R. Murhty and H. Liu, "Data Warehousing and Analytics Infrastructure at Facebook," in Proceedings of ACM SIGMOD International Conference on Management of Data, New York, NY, 2010
-
(2010)
Proceedings of ACM SIGMOD International Conference on Management of Data
-
-
Thusoo, A.1
Shao, Z.2
Anthony, S.3
Borthakur, D.4
Jain, N.5
Sen, J.S.6
Murhty, R.7
Liu, H.8
-
27
-
-
84880545553
-
The big data ecosystem at linkedin
-
New York, NY
-
R. Sumbaly, J. Kreps and S. Shah, "The Big Data Ecosystem at LinkedIn," in Proceedings of the ACM SIGMOD International Conference on Management of Data, New York, NY, 2013
-
(2013)
Proceedings of the ACM SIGMOD International Conference on Management of Data
-
-
Sumbaly, R.1
Kreps, J.2
Shah, S.3
-
29
-
-
77951033625
-
Linking software development and business strategy through measurement
-
V. R. Basili, M. Lindvall, M. Regardie, C. Seaman, J. Heidrich, J. Münch, D. Rombach and A. Trendowicz, "Linking software development and business strategy through measurement.," IEEE Computer, vol. 43, p. 57-65, 2010
-
(2010)
IEEE Computer
, vol.43
, pp. 57-65
-
-
Basili, V.R.1
Lindvall, M.2
Regardie, M.3
Seaman, C.4
Heidrich, J.5
Münch, J.6
Rombach, D.7
Trendowicz, A.8
-
30
-
-
0026494564
-
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
-
31
-
-
84971480346
-
Practical software measurement: Objective information for decision makers
-
J. McGarry, D. Card, C. Jones, B. Layman, E. Clark, J. Dean and F. Hall, Practical Software Measurement: Objective Information for Decision Makers, Addison-Wesley Professional, 2001
-
(2001)
Addison-Wesley Professional
-
-
McGarry, J.1
Card, D.2
Jones, C.3
Layman, B.4
Clark, E.5
Dean, J.6
Hall, F.7
-
33
-
-
84890165822
-
Qualitative methods
-
Springer F. Shull, J. Singer and D. I. Sjøberg, Eds
-
C. B. Seaman, "Qualitative Methods," in Guide to Advanced Empirical Software Engineering, F. Shull, J. Singer and D. I. Sjøberg, Eds., Springer, 2008
-
(2008)
Guide to Advanced Empirical Software Engineering
-
-
Seaman, C.B.1
-
34
-
-
0001345835
-
Snowball sampling
-
L. Goodman, "Snowball sampling," Annals of Mathematical Statistics, vol. 32, no. 1, p. 148-170, 1961
-
(1961)
Annals of Mathematical Statistics
, vol.32
, Issue.1
, pp. 148-170
-
-
Goodman, L.1
-
40
-
-
72249113391
-
Debugging in the (Very) Large: Ten Years of Implementation and Experience
-
K. Glerum, K. Kinshumann, S. Greenberg, G. Aul, V. Orgovan, G. Nichols, D. Grant, G. Loihle and G. Hunt, "Debugging in the (Very) Large: Ten Years of Implementation and Experience," in SOSP '09: Proceedings of the 22nd ACM Symposium on Operating Systems Principles, 2009
-
(2009)
SOSP '09: Proceedings of the 22nd ACM Symposium on Operating Systems Principles
-
-
Glerum, K.1
Kinshumann, K.2
Greenberg, S.3
Aul, G.4
Orgovan, V.5
Nichols, G.6
Grant, D.7
Loihle, G.8
Hunt, G.9
-
42
-
-
84971434390
-
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
-
43
-
-
79959914473
-
Characterizing the differences between pre-and post-release versions of software
-
P. L. Li, R. Kivett, Z. Zhan, S.-e. Jeon, N. Nagappan, B. Murphy and A. J. Ko, "Characterizing the differences between pre-and post-release versions of software," in ICSE '11: Proceedings of the 33rd International Conference on Software Engineering , 2011
-
(2011)
ICSE '11: Proceedings of the 33rd International Conference on Software Engineering
-
-
Li, P.L.1
Kivett, R.2
Zhan, Z.3
Jeon, S.-E.4
Nagappan, N.5
Murphy, B.6
Ko, A.J.7
-
44
-
-
84880056075
-
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
-
45
-
-
57849115716
-
Controlled experiments on the web: Survey and practical guide
-
R. Kohavi, R. Longbotham, D. Sommerfield and R. M. Henne, "Controlled experiments on the web: survey and practical guide," Data Mining and Knowledge Discovery, vol. 18, no. 1, pp. 140-181, 2009
-
(2009)
Data Mining and Knowledge Discovery
, vol.18
, Issue.1
, pp. 140-181
-
-
Kohavi, R.1
Longbotham, R.2
Sommerfield, D.3
Henne, R.M.4
-
46
-
-
84971480352
-
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
-
-
|