Proceedings of the 18th international doctoral symposium on Components and architecture
Bibliographic record
Abstract
It is our great pleasure to welcome you to the 18th International Doctoral Symposium on Components and Architecture -- WCOP'13. Since its first years in the nineties, then as an ECOOP workshop, WCOP has been one of the driving forces that brought component orientation into broader consciousness of the software-development community. At that time, the definitions of basic terminology were discussed and concepts were clarified. In the 2000 decade, the component idea got established in dedicated conferences (foremost CBSE, itself a former ICSE workshop) and also influenced the software architecture community strongly. During these times, WCOP evolved to a workshop for young researchers to present new ideas and to collect feedback from established members of the community. In 2010, WCOP institutionalized its role as a forum for young researchers in our community via becoming the doctoral symposium of the CompArch federated conference. In the same year, WCOP introduced the CompArch Young Investigator Award, which is given to the work of young researchers in our community to award specifically promising work of expected high importance. This year, the fourth CompArch Young Investigator Award was given to Alexander Wert (Karlsruhe Institute of Technology, Germany) for his paper entitled Performance Problem Diagnostics by Systematic Experimentation. WCOP is part of the federated event CompArch, this year together with CBSE 2013: 16th International ACM SIGSOFT Symposium on Component Based Software Engineering, QoSA 2013: 9th International ACM SIGSOFT Conference on the Quality of Software Architectures, and ISARCS 2013: 4rd International ACM SIGSOFT Symposium on Architecting Critical Systems. We are grateful to the organizers of all these events for making CompArch a successful federated event on Component-based Software Engineering and Software Architecture.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.146 | 0.061 |
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".