Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering
Bibliographic record
Abstract
It is our great pleasure to welcome you to the 18th International ACM Sigsoft Symposium on Component-Based Software Engineering -- CBSE'15. This year's symposium continues its tradition of being the premier forum for presentation of research results and experience reports in component technology. The general theme for CBSE'15 is "Components for physical services", motivated by the fact that software systems increasingly control processes that reside outside traditional computing environments. The call for papers attracted 42 submissions from around the globe: America (Brazil, Canada, Jamaica, USA), Asia (India, Pakistan), Europe (Austria, Belgium, Czech Republic, Denmark, Germany, France, Italy, Luxembourg, Portugal, Spain, Sweden, Switzerland, United Kingdom), and Oceania (Australia, New Zealand), highlighting the international appeal of the event. The papers in these proceedings are included based on a formal peer-reviewing process on full papers. Each submission was reviewed by at least three independent members of the Program Committee. After an extensive discussion, the Program Committee decided to accept 14 papers (9 regular papers and 5 short papers). It is very pleasing to see that the accepted papers cover a variety of topics, including Component Composition and Reuse, Adaptable Components, Components for Wireless and Realtime systems, Component Analysis and Design, and Components in Model-based Engineering. To a certain degree, this reflects on the progress component technologies have made over the past years. We hope that the CBSE'15 proceedings will serve as a reference for academic researchers and practitioners working in the area of Component-Based Software Engineering.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.058 | 0.031 |
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".