Analyse der Nutzung von KI für AENEAS (ANuKI) - Repository

This repository contains source code of software projects related to ANuKI. Further information about the project, its contributors and funding can be found here

Overview of projects

Repository Title Video Related Publication
Artefaktextraktor-/Generator Bülbül, M., Straub, P., Münch, J., Kuhrmann, M. (2025). Towards Generating Measurable Artifact Models from Standards in Regulated Domains. In: Pfahl, D., Gonzalez Huerta, J., Klünder, J., Anwar, H. (eds) Product-Focused Software Process Improvement. PROFES 2024. Lecture Notes in Computer Science, vol 15452. Springer, Cham. 10.1007/978-3-031-78386-9_18
Metric Catalog Tool *

Vasylieva, K., Brenner, T., Kuhrmann, M., Münch, J. (2025). Enhancing Transparency in Space Metrics Use: Insights from an Initial Study. In: Pfahl, D., Gonzalez Huerta, J., Klünder, J., Anwar, H. (eds) Product-Focused Software Process Improvement. PROFES 2024. Lecture Notes in Computer Science, vol 15452. Springer, Cham. 10.1007/978-3-031-78386-9_22

Vasylieva, K., Kuhrmann, M., Xavier, M. K., & Klünder, J. (2023, September). How agile are you? discussing maturity levels of agile maturity models. In 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 270-277). IEEE. 10.1109/SEAA60479.2023.00049

Aligned Quality Model * P. Beyersdorffer, J. Münch and M. Kuhrmann, "Alignment of Quality Models for Assessing Software Requirements in Large-scale Projects: A Case from Space," 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Edinburgh, United Kingdom, 2023, pp. 1-9, doi: 10.1109/ICE/ITMC58018.2023.10332295.
RequirementsQuality Extraktor *

Korfmann, R., Beyersdorffer, P., Gerlich, R., Münch, J., & Kuhrmann, M. (2025). Overcoming Data Shortage in Critical Domains With Data Augmentation for Natural Language Software Requirements. Journal of Software: Evolution and Process, 37(5), e70027.

Korfmann, R., Beyersdorffer, P., Münch, J., & Kuhrmann, M. (2024, September). Using data augmentation to support AI-based requirements evaluation in large-scale projects. In European Conference on Software Process Improvement (pp. 97-111). Cham: Springer Nature Switzerland. 10.1007/978-3-031-71139-8_7

Augmentation *
Measurement *

Overview of Non-Software Parts

Provided as downloads

Repository Title Related Publication
Compliance Tailoring Julio C. Guzmán, Heiko Dörr, Thomas Brenner, Rainer Gerlich, Jürgen Münch, Marco Kuhrmann:Towards Generating Compliance Action Plans: A Discussion of Needs and Opportunities. PROFES 2024: 395-40310.1007/978-3-031-78386-9_30
Quality Assurance Julio C. Guzmán, Heiko Dörr, Christian Gruber, Jürgen Münch, Marco Kuhrmann: On the Derivation of Quality Assurance Plans from Process Model Descriptions. PROFES (Industry-, Workshop-, and Doctoral Symposium Papers) 2024: 116-13010.1007/978-3-031-78392-0_8
Reference Model v4

Overview AENEAS

The ANuKI project is grounded in the previous project AENEAS. In order to create a single access point that makes all project and project-related contents available in one place, the ANuKI organization also hosts the AENEAS project sources"

Repository Title Related Publication
AENEAS Prause, C.R., Hönle, A. (2018). Emperor’s New Clothes: Transparency Through Metrication in Customer-Supplier Relationships. In: Kuhrmann, M., et al. Product-Focused Software Process Improvement. PROFES 2018. Lecture Notes in Computer Science(), vol 11271. Springer, Cham. 10.1007/978-3-030-03673-7_21
Prause, C.R.; Gerlich, R. Finest Magic Cloth or a Naked Emperor? The SKQuest Data Set on Software Metrics for Improving Transparency and Quality. Standards 2023, 3, 136-168. 10.3390/standards3020012
Hönle, A., Prause, C.R. (2019). Transparency of Software Development Status - The AENEAS Tool for ECSS Software Metrics10.13140/RG.2.2.20314.29122

Note

* The software has been tested on MacMini M1, 2020