Performance stress testing of real-time systems using genetic algorithms
Why this work is in the frame
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Bibliographic record
Abstract
Reactive real-time systems must react to external events within time constraints: Triggered tasks must execute within deadlines. Through performance stress testing, the risks of performance failures in real-time systems are reduced. We develop a methodology for the derivation of test cases that aims at maximizing the chances of critical deadline misses within a system. This testing activity is referred to as performance stress testing. Performance stress testing is based on the system task architecture, where a task is a single unit of work carried out by the system. The method developed is based on genetic algorithms and is augmented with a tool, Real Time Test Tool (RTTT). Case studies performed on the tool show that it may actually help testers identify test cases that are likely to exhibit missed deadlines during testing or, even worse, ones that are certain to lead to missed deadlines, despite schedulability analysis assertions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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