UML model-driven detection of performance bottlenecks in Concurrent Real-Time Software
Why this work is in the frame
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Bibliographic record
Abstract
A UML-driven technique for detection of performance bottlenecks in concurrent real-time systems is presented. The approach is based on comprehensive analysis of control flow in two types of UML 2.x behavioral models: sequence diagrams and interaction overview diagrams. The technique takes an input the runtime durations of tasks and uses the Program Evaluation and Review Technique (PERT) to pinpoint performance bottlenecks in UML-based control flow information of a concurrent real-time system. Since design UML models are usually developed and are available already for most object-oriented systems, the technique prevents the need to construct specific-purpose performance models such as Layered Queuing Networks. Application of the technique on an example control software system demonstrates the applicability and effectiveness of the technique in pinpointing performance bottlenecks.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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