Davy Landman

- Full Name
- D. Landman
- Function(s)
- Programmer - Unknown
- Davy.Landman@cwi.nl
- Telephone
- +31 20 592 4111
- Room
- L226
- Department(s)
- Software Analysis and Transformation
Publications
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Landman, D. (2017, October 5). Reverse engineering source code : empirical studies of limitations and opportunities. IPA dissertation series.
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Landman, D, Serebrenik, A, Bouwers, E, & Vinju, J.J. (2017). Corrigendum to: Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods and C functions published on 9 December 2015. Journal of Software: Evolution and Process, 29(10). doi:10.1002/smr.1914
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Landman, D, Serebrenik, A, & Vinju, J.J. (2017). Challenges for static analysis of Java reflection - literature review and empirical study. In Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering, ICSE 2017 (pp. 507–518). doi:10.1109/ICSE.2017.53
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Landman, D, Serebrenik, A, Bouwers, E, & Vinju, J.J. (2016). Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods and C functions. Journal of Software: Evolution and Process, 28(7), 589–618. doi:10.1002/smr.1760
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Landman, D. (2016). A corpus of Java projects representing the 2012 Ohloh universe.
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Basten, H.J.S, Hills, M.A, Klint, P, Landman, D, Shahi, A, Steindorfer, M.J, & Vinju, J.J. (2015). M3: A General Model for Source Code Analytics in Rascal. In Proceedings of International Workshop on Software Analytics 2015 (SWAN 2015). IEEE.
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Landman, D. (2015). A Curated Corpus of Java Source Code based on Sourcerer (2015).
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Landman, D. (2015). A Large Corpus of C Source Code based on Gentoo packages.
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Landman, D, Vinju, J.J, & Serebrenik, A. (2014). Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods. In L.M.F Moonen & L Pollock (Eds.), Proceedings of IEEE International Conference on Software Maintenance and Evolution 2014 (pp. 221–230). IEEE Computer Society.
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Landman, D. (2014). Parsed representations (AST, SLOC, CC) of the Curated Sourcerer Corpus.
Awards
- Reverse engineering source code: Empirical studies of limitations and opportunities (2018)