This paper introduces APPEND , an automated approach to preventing and handling null pointer exceptions in Java programs. It analyzes programs to locate possible null pointer dereferences and then inserts null checks and error handling code. The error-handling code is specified at compile-time via composable, context-sensitive recovery policies.
This paper describes the Chaos Automation Platform (ChAP), a system for running failure injection experiments on the production system to verify that failures in non-critical services do not result in system outages.
This paper characterizes self-healing software systems by surveying some of the existing work in the field. It maps the space of software self-healing capabilities and discusses the risks and limitations inherent in automatic-reaction schemes. The structure of this paper is quite clear, including "what", "why", "how" and "future directions" on self-healing systems.
This paper proposes a taxonomy for describing the problem space for self-healing systems including fault models, system responses, system completeness, and design context. It is hoped that this taxonomy will help researchers understand what aspects of the system dependability problem they are (and aren't) addressing with specific research projects.
Problem space model elements