Experiences from Model Supported Configuration Management and Production of Automotive Embedded Software
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
<div class="htmlview paragraph">Configuration management of products containing software with complex interrelationships is a challenge for the automotive industry. Configurations are usually addressed through hierarchical product structures based on a mechanical tradition. We report experiences from the development of a demonstrator: a scale model truck, including a software platform, active safety functionality and a tool environment. Our experiences in particular indicate that commercial Product Data Management (PDM) systems meet the needs for embedded software configuration management, providing improved traceability, configuration and production support for in-vehicle software. The software middleware provides execution independent of location, facilitating portability. Supplemented with an adapted PDM solution this provides efficient configuration support. The need for analysis support for the timing behavior of distributed applications was identified but not implemented. We conclude by discussing experiences and future opportunities with the demonstrator.</div>
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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