Proceedings of the 1st international conference on Aspect-oriented software development
Bibliographic record
Abstract
Welcome to AOSD 2002, the first conference dedicated to the field of Aspect-Oriented Software Development. The conference provides a variety of events and activities of interest to researchers and practitioners in the academic, industrial and government communities alike.This is a particularly exciting time to be involved in the AOSD field. The fundamental goal of AOSD -----effective separation of concerns--- was enunciated about 30 years ago, most notably by Dijkstra and Parnas. They even identified some of the challenging requirements that AOSD researchers are addressing today, but it took until recently for technology to catch up and provide solu- tions. The first two decades or so of research on separation of concerns focused primarily on providing new kinds of modules, able to separate concerns in new ways. This led to some key advances, including abstract data types and object-oriented programming, which have had dramatic impact on software engineering research and practice. The approaches suffered from a limitation, how- ever: they could encapsulate concerns that aligned with the dominant decomposition of the software into modules such as objects or classes, but not concerns that cut across multiple modules. With a few earlier glimmerings, several flavors of technology that enable separation of crosscutting concerns began to emerge in the early 1990s. These technological breakthroughs finally enabled more ambitions separation-of-concerns goals to be addressed. The advent and promulgation of aspect-oriented programming awakened broader interest in the area, on the part of researchers and practitioners alike. There is now an active and growing community engaged in research and reduction to practice using a variety of different approaches and at various phases of the software lifecycle.The time is right for practitioners to begin using AOSD technology, for researchers to solve some of the challenging problems that remain, and for researchers and practioners to work together to make AOSD a mainstream software development technology. This conference is designed to further these goals by providing:• A forum for dissemination and discussion of leading-edge research and for researchers in the field to get together.• Opportunities for researchers and practitioners to come together to discuss issues of mutual interest, including how AOSD technologies can be used in practice and details of real technical problems that can motivate further research.• Discussion of the challenges faced when adopting AOSD in industry, and what can he done to address them.Refereed papers are a cornerstone of any conference. Fifty papers were submitted to the program committee. Every paper was read by at least three reviewers, except program committee member papers, which were read by at least five reviewers. The program committee held a one-day meeting in Chicago to discuss the papers. The committe held the papers to a very high standard -- nine were selected as full papers and eight as short papers.In addition, the conference includes keynote presentations by Michael Jackson and Linda Northrop, four invited talks on early industrial applications of AOSD, a panel on commercialization of AOSD, and eight demonstrations of AOSD-related tools. Prior to the start of the main conference is a stimulating program of six tutorials and six workshops.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.033 |
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".