- Ranjan Pal, Nishanth Sastry, Emeka Obiodu, Sanjana Prabhu, Konstantinos Psounis. EdgeMart: A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth. TAAS, 18(4), December 2023.
- Kanvaly Fadiga, Étienne Houzé, Ada Diaconescu, Jean-Louis Dessalles. Improving Causal Learning Scalability and Performance using Aggregates and Interventions. TAAS, 18(3), September 2023.
- Veronika Lesch, Marius Hadry, Christian Krupitzer, Samuel Kounev. Self-aware Optimization of Adaptation Planning Strategies. TAAS, 18(3), September 2023.
- Jorge F. Schmidt, Udo Schilcher, Arke Vogell, Christian Bettstetter. Using Randomization in Self-organized Synchronization for Wireless Networks. TAAS, 18(3), September 2023.
- Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomás Bures, Amleto Di Salle, Matthias Galster, Patricia Lago, Grace A. Lewis, Marin Litoiu, Angelika Musil, Juergen Musil, Panos Patros, Patrizio Pelliccione. Self-Adaptation in Industry: A Survey. TAAS, 18(2), June 2023.
- Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti. Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources. TAAS, 18(4), December 2023.
- Nicola Mc Donnell, Jim Duggan, Enda Howley. A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering. TAAS, 18(2), June 2023.
- Danilo Pianini, Vana Kalogeraki. Foreword: ACSOS 2021 Special Issue. TAAS, 18(3), September 2023.
- Junbo Tong, Daming Shi 0003, Yi Liu, Wenhui Fan. GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning. TAAS, 18(2), June 2023.
- Jad Bassil, Abdallah Makhoul, Benoît Piranda, Julien Bourgeois. Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter. TAAS, 18(1), March 2023.