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Most recent publications

C. M. Rosenberg and L. Moonen

On the Use of Automated Log Clustering to Support Effort Reduction in Continuous Engineering

In 25th Asia-Pacific Software Engineering Conference (APSEC 2018). IEEE, 2018.
Proceedings, refereed
2018
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S. Pugh, D. Binkley and L. Moonen

The Case for Adaptive Change Recommendation

In 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2018.
Proceedings, refereed
2018
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C. M. Rosenberg and L. Moonen

Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction

In 12th International Symposium on Empirical Software Engineering and Measurement (ESEM 2018). ACM, 2018.
Proceedings, refereed
2018
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L. Moonen, T. G. Rolfsnes, D. Binkley and S. Di Alesio

What are the Effects of History Length and Age on Mining Software Change Impact?

Journal of Empirical Software Engineering (EMSE) 23, no. 4 (2018): 2362-2397.
Journal Article
2018
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Selected publications

L. Moonen, D. Binkley and S. Pugh

On Adaptive Change Recommendation

Journal of Systems and Software 164 (2020).
Journal Article
2020
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L. Moonen

Towards Evidence-Based Recommendations to Guide the Evolution of Component-Based Product Families

Science of Computer Programming 97 (2015): 105-112.
Journal Article
2015
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A. Yamashita and L. Moonen

Exploring the Impact of Inter-Smell Relations on Software Maintainability: an Empirical Study

In 35th International Conference on Software Engineering (ICSE). ACM/IEEE, 2013.
Proceedings, refereed
2013
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L. Moonen and A. R. Yazdanshenas

Analyzing and Visualizing Information Flow in Heterogeneous Component-Based Software Systems

Information and Software Technology 77 (2016): 34-55.
Journal Article
2016
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29 May 2019
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2018

Journal articles

L. Moonen, T. G. Rolfsnes, D. Binkley and S. Di Alesio

What are the Effects of History Length and Age on Mining Software Change Impact?

Journal of Empirical Software Engineering (EMSE) 23, no. 4 (2018): 2362-2397.
Status: Published
T. G. Rolfsnes, L. Moonen, S. Di Alesio, R. Behjati and D. Binkley

Aggregating Association Rules to Improve Change Recommendation

Journal of Empirical Software Engineering (EMSE) 23, no. 2 (2018): 987-1035.
Status: Published

Proceedings, refereed

S. Pugh, D. Binkley and L. Moonen

The Case for Adaptive Change Recommendation

In 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2018.
Status: Published
C. M. Rosenberg and L. Moonen

On the Use of Automated Log Clustering to Support Effort Reduction in Continuous Engineering

In 25th Asia-Pacific Software Engineering Conference (APSEC 2018). IEEE, 2018.
Status: Published
C. M. Rosenberg and L. Moonen

Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction

In 12th International Symposium on Empirical Software Engineering and Measurement (ESEM 2018). ACM, 2018.
Status: Published

Miscellaneous

L. Moonen, T. G. Rolfsnes, D. Binkley and S. Di Alesio

Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact?

Zenodo, 2018.
Status: Published