COTS workshop
Bibliographic record
Abstract
In early June of 2000 a COTS Workshop entitled "Continuing Collaborations for Successful COTS Development" was held in Limerick, Ireland in conjunction with ICSE 2000. The purpose of the workshop was to collect experience reports regarding the use of commercial off-the-shelf (COTS) software to build systems, identify best-practices for the use of COTS software, and to establish a research agenda for those researchers interested in COTS-based software systems. This one and a half day workshop was an extension of the work begun during the workshop entitled "Ensuring Successful COTS Development" held in conjunction with ICSE '99. Results from that workshop demonstrated that there were a number of common research areas, including acquisition, planning and management, architecture and implementation, and evaluation and testing, for which researchers saw the possibility of collaboration. These areas included specific topics such as estimating the effort required to implement COTS-based systems, classification of architectural styles, and certification of COTS products for reliability and safety. The group will reconvene at ICSE'01 (www.csr.uvic.ca/icse2001) to discuss further the results achieved.The ICSE 2000 Workshop had about 26 participants and was formatted as a combination of plenary sessions and small breakout groups that worked on specific issues related to COTS-based systems. The breakout groups investigated the impact of COTS software usage in the following areas: Economic and financial issues. Requirements definition Software engineering process. Integration, maintenance and system management. Business models. Each breakout group tried to identify the current state of the art in COTS software usage as well as open questions that could provide the basis for further research in the coming years. Each group was responsible for producing a written summary of their discussions which are included, without major editing, below. A more complete description of the workshop, as well as all the participants' position papers, can be found at:http://seg.iit.nrc.ca/projects/cots/icse2000wkshp/index.html
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.258 | 0.158 |
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".