Publications

Found 8 results
Filters: Autor is Sebastian Ruland  [Clear All Filters]
2022
S. Ruland und Lochau, M., „On the Interaction between Test-Suite Reduction and Regression-Test Selection Strategies“, ArXiv E-Print 2207.12733: https://doi.org/10.48550/arXiv.2207.12733. ArXiv, S. 1-39, 2022.
2020
S. Ruland, Lochau, M., Fehse, O., und Schürr, A., „CPA/Tiger-MGP: Test-Goal Set Partitioning for Efficient Multi-goal Test-suite Generation“, International Journal on Software Tools for Technology Transfer, Bd. 23, S. 853-856, 2020.
S. Ruland, Lochau, M., und Jakobs, M. - C., „HybridTiger: Hybrid Model Checking and Domination-based Partitioning for Efficient Multi-Goal Test-Suite Generation (Competition Contribution)“, in Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering (FASE), 2020, S. 520-524.
S. Ruland, Kulcsár, G., Leblebici, E., Peldszus, S., und Lochau, M., „On Controlling the Attack Surface of Object-Oriented Refactorings“, in Proceedings of Software Engineering (SE), 2020, S. 89-90.
V. Kutscher, Ruland, S., Müller, P., Wasser, N., Lochau, M., Anderl, R., Schürr, A., Mezini, M., und Hähnle, R., „Towards a Circular Economy of Industrial Software“, in Proceedings of the 27th CIRP Life Cycle Engineering Conference (LCE), 2020, S. 37-42.
2019
D. Reuling, Kelter, U., Ruland, S., und Lochau, M., „SiMPOSE - Configurable N-Way Program Merging Strategies for Superimposition-Based Analysis of Variant-Rich Software“, in Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019, S. 1134-1137.
2018
S. Ruland, Kulcsár, G., Leblebici, E., Peldszus, S., und Lochau, M., „Controlling the Attack Surface of Object-Oriented Refactorings“, in Proceedings of the 21st International Conference on Fundamental Approaches to Software Engineering (FASE), 2018, S. 38-55.
S. Ruland, Luthmann, L., Bürdek, J., Lity, S., Thüm, T., Lochau, M., und Ribeiro, M., „Measuring Effectiveness of Sample-Based Product-Line Testing“, in Proceedings of the 17th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE), 2018, S. 119-133.