- Jia Li, Shiva Nejati, Mehrdad Sabetzadeh. Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks. TAAS, 19(1), March 2024.
- Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker 0001. A Framework for Simultaneous Task Allocation and Planning under Uncertainty. TAAS, 19(4), December 2024.
- Olufogorehan Tunde-Onadele, Yuhang Lin, Xiaohui Gu, Jingzhu He, Hugo Latapie. Self-Supervised Machine Learning Framework for Online Container Security Attack Detection. TAAS, 19(3), September 2024.
- Michael Austin Langford, Sol Zilberman, Betty H. C. Cheng. Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence. TAAS, 19(3), September 2024.
- Luis Hernán García Paucar, Huma Samin, Nelly Bencomo. Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements. TAAS, 19(2):11, June 2024.
- Andrew Fuchs, Andrea Passarella, Marco Conti. Optimizing Delegation in Collaborative Human-AI Hybrid Teams. TAAS, 19(4), December 2024.
- Nianyu Li, Mingyue Zhang, Jialong Li, Sridhar Adepu, Eunsuk Kang, Zhi Jin. A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems. TAAS, 19(2):12, June 2024.
- Xinwei Fang, Sinem Getir Yaman, Radu Calinescu, Julie Wilson, Colin Paterson. Predicting Nonfunctional Requirement Violations in Autonomous Systems. TAAS, 19(1), March 2024.
- Samira Silva, Patrizio Pelliccione, Antonia Bertolino. Self-Adaptive Testing in the Field. TAAS, 19(1), March 2024.
- Stefan Sarkadi. Self-Governing Hybrid Societies and Deception. TAAS, 19(2):9, June 2024.