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Most recent publications

V. Liventsev, A. Grishina, A. Härmä and L. Moonen

Fully Autonomous Programming with Large Language Models

In ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO 2023). ACM, 2023.
Proceedings, refereed
2023
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A. Grishina, M. Hort and L. Moonen

The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification

In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023). ACM, 2023.
Proceedings, refereed
2023
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A. Høst, P. Lison and L. Moonen

Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database

In 24th Nordic Conference on Computational Linguistics (NoDaLiDa 2023). Northern European Association for Language Technology (NEALT), 2023.
Proceedings, refereed
2023
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S. Malik, M. A. Naqvi and L. Moonen

CHESS: A Framework for Evaluation of Self-adaptive Systems based on Chaos Engineering

In 18th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2023). IEEE, 2023.
Proceedings, refereed
2023
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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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News

26 October 2018
Iselin Nybø handing out cake to Leon Moonen and Ahmed Elmokashfi (Photo: Sverre Christian Jarild)

Four Simula-projects have been granted a combined total of 75 MNOK

Students under supervision

Available Master's topics

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2020

Proceedings, refereed

C. M. Rosenberg and L. Moonen

Spectrum-Based Log Diagnosis

In Empirical Software Engineering and Measurement (ESEM). ACM, 2020.
Status: Published
2018

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
2017

Proceedings, refereed

T. G. Rolfsnes, L. Moonen and D. Binkley

Predicting Relevance of Change Recommendations

In The IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2017.
Status: Published
J. L. de la Vara, M. Borg, K. Wnuk and L. Moonen

Safety Evidence Change Impact Analysis in Practice

In International Conference on Software Engineering. ACM/IEEE, 2017.
Status: Published
2016

Proceedings, refereed

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

Practical Guidelines for Change Recommendation using Association Rule Mining

In IEEE/ACM International Conference on Automated Software Engineering (ASE). ACM, 2016.
Status: Published
L. Moonen, S. Di Alesio, T. G. Rolfsnes and D. Binkley

Exploring the Effects of History Length and Age on Mining Software Change Impact

In International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2016.
Status: Published
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.
Status: Published
T. G. Rolfsnes, L. Moonen, S. Di Alesio, R. Behjati and D. Binkley

Improving Change Recommendation using Aggregated Association Rules

In 13th International Conference on Mining Software Repositories (MSR). ACM, 2016.
Status: Published