Topics of interest include development, analysis methods and models throughout the software development lifecycle, and are not limited to:

    Dependability attributes (i.e., security, safety, maintainability, survivability, resilience, robustness) impacting software reliability
    Reliability threats, i.e. faults (defects, bugs, etc.), errors, failures
    Reliability means (fault prevention, fault removal, fault tolerance, fault forecasting)
    Software testing and formal methods
    Software fault localization, debugging, root-cause analysis
    Metrics, measurements and threat estimation for reliability prediction and the interplay with safety/security
    Reliability of autonomous systems and (self-)adaptive systems
    Reliability of AI-based systems, AI for Reliability Engineering
    Reliability of Large Language/Foundational Model (LLM) and LLM for software reliability
    Reliability of software services and Software as a Service (SaaS)
    Reliability of model-based and auto-generated software
    Reliability of open-source software
    Reliability of software dealing with Big Data
    Reliability of model-based and auto-generated software
    Reliability of green and sustainable systems
    Reliability of mobile systems
    Reliability of software within specific technological spaces (e.g., Internet of Things, Cloud, Semantic Web/Web 3.0, Virtualization, Blockchain, networks softwarization, 5G/6G, edge-to-cloud computing)
    Normative/regulatory/ethical spaces about software reliability
    Societal aspects of software reliability