SAM will be held in conjunction with ICSE 2015
Software engineers of complex software systems face the challenge of how best to assess the achievement of quality attributes and other key drivers, how to reveal issues and risks early, and how to make decisions about architecture and system evolution. There is an increasing need to provide ongoing quantifiable insight into the quality of the system being developed to manage the pace of software delivery and technology churn.
Additionally, it is highly desirable to improve feedback between development and deployment through measurable means for intrinsic quality, value, and cost. While there is body of work focusing on code quality and metrics, their applicability at the design and architecture level and at scale are inconsistent and not proven. We are interested in exploring whether architecture can assist with better contextualizing existing system and code quality and metrics approaches. Furthermore, we ask whether we need additional architecture-level metrics to make progress and whether something as complex and subtle as software architecture can be quantified.
The goal of this workshop is to discuss progress on architecture and metrics, measurement, and analysis; to gather empirical evidence on the use and effectiveness of metrics; and to identify priorities for a research agenda. The workshop addresses both academic researchers and industrial practitioners for an exchange of ideas and collaboration.
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:
- 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
- eliciting and visualizing architecture metrics
- composing architecture metrics by aggregating or combining code-level metrics
- associating multiple views and quality concerns with 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
- Creating principles for industrial software architecture metrics
- Executing empirical studies on how architecture metrics are used in practice and their effectiveness
We invite submissions of papers in any areas related to the themes and goals of the workshop in the following categories:
Papers must conform to the IEEE proceedings format. Papers must be original and not under consideration for publication elsewhere. All submissions will be reviewed by members of the program committee for quality and relevance. Accepted papers will become part of the workshop proceedings and be published in the ICSE conference electronic proceedings in both the ACM Digital Library and the IEEE Digital Library. Submit your paper electronically via EasyChair.