5th international workshop on modeling in software engineering (MiSE 2013)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Models are an important tool in conquering the increasing complexity of modern software systems. Key industries are strategically directing their development environments towards more extensive use of modeling techniques. This workshop sought to understand, through critical analysis, the current and future uses of models in the engineering of software-intensive systems. The MISE-workshop series has proven to be an effective forum for discussing modeling techniques from the MDD and the software engineering perspectives. An important goal of this workshop was to foster exchange between these two communities. The 2013 Modeling in Software Engineering (MiSE) workshop was held at ICSE 2013 in San Francisco, California, during May 18-19, 2013. The focus this year was analysis of successful applications of modeling techniques in specific application domains to determine how experiences can be carried over to other domains. Details about the workshop are at: https://sselab.de/lab2/public/wiki/MiSE/index.php
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it