Self-adaptive systems: A systematic literature review across categories and domains
Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …
computing research field has seen increased research activity over the last 20 years …
Self-improving system integration-status and challenges after five years of SISSY
The self-improving system integration (SISSY) initiative has emerged in recent years in
response to a systems engineering trend towards the organisation of open, interconnected …
response to a systems engineering trend towards the organisation of open, interconnected …
Self-improving system integration: Mastering continuous change
The research initiative “self-improving system integration”(SISSY) was established with the
goal to master the ever-changing demands of system organisation in the presence of …
goal to master the ever-changing demands of system organisation in the presence of …
On evaluating self-adaptive and self-healing systems using chaos engineering
With the growing adoption of self-adaptive systems in various domains, there is an
increasing need for strategies to assess their correct behavior. In particular self-healing …
increasing need for strategies to assess their correct behavior. In particular self-healing …
Self-improving system integration-on a definition and characteristics of the challenge
KL Bellman, C Gruhl, C Landauer… - 2019 IEEE 4th …, 2019 - ieeexplore.ieee.org
The self-improving system integration (SISSY) initiative-sometimes also called self-
integration-started over six years ago. Recently, we have seen contributions approaching …
integration-started over six years ago. Recently, we have seen contributions approaching …
Supporting remote real-time expert help: Opportunities and challenges for novice 3d modelers
We investigate how novice 3D modelers can remotely leverage real-time expert help to aid
their learning tasks. We first carried out an observational study of remote novice-expert pairs …
their learning tasks. We first carried out an observational study of remote novice-expert pairs …
Enki: A diversity-driven approach to test and train robust learning-enabled systems
Data-driven Learning-enabled Systems are limited by the quality of available training data,
particularly when trained offline. For systems that must operate in real-world environments …
particularly when trained offline. For systems that must operate in real-world environments …
[HTML][HTML] Proactive self-exploration: Leveraging information sharing and predictive modelling for anticipating and countering adversaries
In contested environments, self-exploration is a self-* property that serves as a proactive
mechanism for countering threats posed by adversaries. Specifically, self-exploration …
mechanism for countering threats posed by adversaries. Specifically, self-exploration …
Dealing with drift of adaptation spaces in learning-based self-adaptive systems using lifelong self-adaptation
Recently, machine learning (ML) has become a popular approach to support self-
adaptation. ML has been used to deal with several problems in self-adaptation, such as …
adaptation. ML has been used to deal with several problems in self-adaptation, such as …
Rethinking MAPE: Next Generation Adaptation Control for Learning Adaptive Systems
Over the last three decades, computer systems completely changed from large-scale and
mainly isolated systems to interactive, often mobile devices. Such devices are equipped with …
mainly isolated systems to interactive, often mobile devices. Such devices are equipped with …