Publikationen Software Science

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M. and Moser, B., 2021. Ai system engineering—key challenges and lessons learned. Machine Learning and Knowledge Extraction, 3(1), pp.56-83. Moser, M. and Pichler, J., 2021, September. eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation. In 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 559-568). IEEE. Geist, V., Moser, M., Pichler, J., Santos, R. and Wieser, V., 2021. Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice. Software: Practice and Experience, 51(4), pp.798-823. Czech, G., Moser, M. and Pichler, J., 2020. A systematic mapping study on best practices for domain-specific modeling. Software Quality Journal, 28(2), pp.663-692. Fischer, S., Michelon, G.K., Ramler, R., Linsbauer, L. and Egyed, A., 2020. Automated test reuse for highly configurable software. Empirical Software Engineering, 25(6), pp.5295-5332. Ferrarotti, F., Moser, M. and Pichler, J., 2020. Stepwise abstraction of high-level system specifications from source code. Journal of Computer Languages, 60, p.100996.