Change Support in Adaptive Software: A Case Study for Fine-Grained Adaptation
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
Adaptive software is a closed-loop system which aims at adjusting itself in different situations at runtime. This paper looks at adaptation as changes in the context of dynamic software evolution, and proposes a conceptual model for these changes based on Activity Theory. This model consists of a hierarchy of activities making changes, and the objectives motivating these changes. This model is an attempt towards establishing a formal framework for designing adaptive software systems. While the proposed model is applicable to any type of adaptation, at different levels of granularity of various software systems, the paper focuses only on fine-grained adaptation changes. As a case study, a mission-critical e-commerce system, TPC-W, isused to apply the proposed model and evaluate the effectiveness of fine-grained adaptation changes. The conducted set of experiments aims at evaluating self-optimizing and self-configuring adaptation activities performed through several fine-grained actions such as service-level upgrading/degrading.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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