This project is about bringing more modelling practices into agile software development. We look into generating models from textual documents (e.g., user stories) for further analysis, or extracting information from discussions on messaging apps. Here’s a list of the publications in that area. You can find some resources on our gitlab repository.
Josephs A., Gilson F. and Galster M. (2022). Towards Automatic Classification of Design Decisions from Developer Conversations. In 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C) IEEE. DOI
Gilson F., Annand S. and Steel J. (2020). Recording software design decisions on the fly. In Joint Proceedings of SEED and NLPaSE co-located with 27th Asia Pacific Software Engineering Conference, (pp.) 53-66), CEUR 2799 LINK
Gilson F., Galster M., and Georis F. (2020). Generating Use Case Scenarios from User Stories. In Proc. of the 2020 IEEE/ACM International Conference on Software and System Processes (ICSSP) (pp. 31–40). ACM. DOI
Galster M., Gilson F., and Georis F. (2019). What Quality Attributes Can We Find in Product Backlogs? A Machine Learning Perspective. In Software Architecture (pp. 88–96). Springer International Publishing. DOI
Gilson F., and Weyns D. (2019). When Natural Language Processing Jumps into Collaborative Software Engineering. In Proceedings of 2019 IEEE International Conference on Software Architecture Companion (ICSA-C) (pp. 238–241). IEEE Computer Society. DOI
Gilson F., Galster M., and Georis F. (2019). Extracting Quality Attributes from User Stories for Early Architecture Decision Making. Proceedings of 2019 IEEE International Conference on Software Architecture Companion (ICSA-C) (pp. 129–136). IEEE. DOI
Gilson F., and Irwin C. (2018). From User Stories to Use Case Scenarios towards a Generative Approach. In Proc. of 25th Australasian Software Engineering Conference (ASWEC) (pp. 61–65). DOI