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Most recent publications

C. M. Rosenberg and L. Moonen

Spectrum-Based Log Diagnosis

In Empirical Software Engineering and Measurement (ESEM), 2020.
Proceedings, refereed
2020
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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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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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Selected publications

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

Generalizing the Analysis of Evolutionary Coupling for Software Change Impact Analysis

In 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER). IEEE, 2016.
Proceedings, refereed
2016
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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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L. Moonen

Generating Robust Parsers Using Island Grammars

In Proceedings 8th Working Conference on Reverse Engineering. IEEE, 2001.
Proceedings, refereed
2001
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A. Yamashita and L. Moonen

Do Code Smells Reflect Important Maintainability Aspects?

In International Conference on Software Maintenance (ICSM). IEEE, 2012.
Proceedings, refereed
2012
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29 May 2019
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Four projects receive funding from IKT pluss

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Data centre

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

Data-Driven Software Engineering Department

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Export 152 results:
2020

Journal articles

L. Moonen, D. Binkley and S. Pugh

On Adaptive Change Recommendation

Journal of Systems and Software 164 (2020).
Status: Published

Proceedings, refereed

C. M. Rosenberg and L. Moonen

Spectrum-Based Log Diagnosis

In Empirical Software Engineering and Measurement (ESEM), 2020.
Status: Accepted
2019

Talks, invited

M. Monperrus, B. O'Reilly, L. Moonen and G. Grosch

Antifragility and Chaos Engineering

In HiQ, Stockholm, Sweden, 2019.
Status: Published
L. Moonen

cureIT and secureIT: Towards Resilient and Secure Software Systems

In The 14th Certus User Partner Workshop, Larvik, Norway, 2019.
Status: Published
L. Moonen

Supporting Continuous Engineering 
with Automated Log Clustering and Diagnosis

In KTH Royal Institute of Technology, Stockholm, Sweden, 2019.
Status: Published
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

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
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