Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures
Bibliographic record
Abstract
Welcome to the 11th International ACM Sigsoft Conference on the Quality of Architectures -- QoSA 2015. For more than a decade, QoSA has strived to advance the state of the art of quality aspects of software architecture, focusing broadly on its quality characteristics and how these relate to the design of software architectures. Specific issues of interest are defining and modeling quality measures, evaluating and managing architecture quality, linking architecture to requirements and implementation, and preserving architecture quality throughout the system lifetime. Past themes for QoSA include Architecting for Adaptivity (2014), The System View (2013), Evolving Architectures (2012), Quality throughout the Lifecycle (2011), and Research into Practice -- Reality and Gaps (2010). QoSA 2015's theme is Software Architecture for the 4th Industrial Revolution. After mechanization, mass production, and electronics, the Internet is about to enable a new level of productivity in manufacturing. This shall be enabled by smart cyber-physical systems connected to cloud computing services and communicating using standardized semantics. In the near future, industrial big data analytics on monitored sensor data shall improve the efficiency and individualization of production facilities. This year's QoSA conference solicited contributions that explore the various implications of this upcoming industrial revolution on software architecture. This included reference architectures, software architectures adapting at run time, architecture styles and patterns for cyber-physical and distributed systems. The call for papers attracted 42 initial submissions from Asia, North America, Africa, and Europe and 28 final submissions were considered during the review process. The program committee accepted 11 full papers and 2 short papers that cover topics, such as new architecture modeling approaches, architectural tactics for mobile computing, cloud computing architectures, and cyberphysical systems. QoSA's 2015 proceedings also include 2 papers from the WCOP 2015, the 20th International Doctoral Symposium on Components and Architecture. QoSA 2015 is part of the federated events on component-based software engineering and software architecture (CompArch 2015), which include WICSA 2015 (12th Working IEEE / IFIP Conference on Architecture) and CBSE 2015 (18th International ACM SIGSOFT Symposium on Component-Based Engineering).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.065 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".