data mining

Using Metrics to Track Code Review Performance

Submitted by msquire on Fri, 2017-06-30 13:30
D. Izquierdo-Cortazar, Sekitoleko, N., Gonzalez-Barahona, J. M., and Kurth, L., “Using Metrics to Track Code Review Performance”, in Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, New York, NY, USA, 2017, pp. 214–223.
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data mining
code review
Software development analytics

Models of OSS Project Meta-information: A Dataset of Three Forges

Submitted by msquire on Fri, 2014-08-01 19:29
J. R. Williams, Di Ruscio, D., Matragkas, N., Di Rocco, J., and Kolovos, D. S., “Models of OSS Project Meta-information: A Dataset of Three Forges”, in Proceedings of the 11th Working Conference on Mining Software Repositories, New York, NY, USA, 2014, pp. 408–411.
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data mining
flossmole cited

Analysing the 'Biodiversity' of Open Source Ecosystems: The GitHub Case

Submitted by msquire on Fri, 2014-08-01 19:16
N. Matragkas, Williams, J. R., Kolovos, D. S., and Paige, R. F., “Analysing the 'Biodiversity' of Open Source Ecosystems: The GitHub Case”, in Proceedings of the 11th Working Conference on Mining Software Repositories, New York, NY, USA, 2014, pp. 356–359.
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msr challenge
mining challenge
data mining
Data and knowledge visualization

"A bit of code": How the Stack Overflow Community Creates Quality Postings

Submitted by msquire on Fri, 2014-01-17 08:29
M. Squire and Funkhouser, C., “"A bit of code": How the Stack Overflow Community Creates Quality Postings”, 47th International Hawai'i Conference on System Sciences (HICSS-47). IEEE Computer Society, pp. 1425-1434, 2014.
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open content
collaboration
collaborative development
text mining
data mining
knowledge collaboration
developer network

{Linkster: Enabling Efficient Manual Mining}

Submitted by msquire on Thu, 2012-06-21 10:31
C. Bird, Bachman, A., Rahman, F., and Bernstein, A., “{Linkster: Enabling Efficient Manual Mining}”, in Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on Foundations of Software Engineering, 2010.
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open source
source code
bug tracking
mailing lists
email
data mining
artifacts
bug

Data Mining User Activity in Free and Open Source Software (FOSS)/ Open Learning Management Systems

Submitted by msquire on Fri, 2012-03-02 08:46
O. McGrath, “Data Mining User Activity in Free and Open Source Software (FOSS)/ Open Learning Management Systems”, International Journal of Open Source Software and Processes, vol. 2, no. 1, pp. 65 - 75, 2010.
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student
education
data mining

Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories

Submitted by msquire on Fri, 2011-04-15 11:37
G. Antoniol, Rollo, V. F., and Venturi, G., “Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories”, in Proceedings of the 2005 international workshop on Mining software repositories, New York, NY, USA, 2005, pp. 74-78.
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evolution
linux
source code
software evolution
kernel
size
change history
data mining
lpc
linear predictive coding
files

Predicting defect densities in source code files with decision tree learners

Submitted by msquire on Thu, 2011-04-14 14:58
P. Knab, Pinzger, M., and Bernstein, A., “Predicting defect densities in source code files with decision tree learners”, in Proceedings of the 2006 international workshop on Mining software repositories, New York, NY, USA, 2006, pp. 119–125.
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Mozilla
source code
scm
defect prediction
prediction
version control
change analysis
data mining
decision tree learner
defect density
release history