We are seeking papers on practical experiences and research approaches to evaluate and manage architecture through metrics including, but not limited to, the following topics: Proposing and validating new metrics architecture quality, value, cost, and uncertainty architecture properties: understandability, maintainability, evolvability, concern dispersion, and modularization architecture models and views: completeness, consistency, and violation of reference models or patterns traceability: the connection between architecture and other artifacts, such as requirements and code architecture knowledge and decision models: confidence, completeness, relevance, and coverage Creating and validating tools and techniques eliciting and visualizing architecture metrics composing architecture metrics by aggregating or combining code-level metrics associating multiple views and quality concerns with metrics Using architecture and metrics application to software evolution, maintenance, refactoring, or software aging analytics on software architecture data for managers and software engineers to make better decisions support for project management with data such as velocity, scrap and rework rates, and uncertainty use by product management for the software business case input to economic models: technical debt management, real option analysis, and valuation Principles and practices Creating principles for industrial software architecture metrics Executing empirical studies on how architecture metrics are used in practice and their effectiveness