Behaviour interactions among product-line features
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
A software product line (SPL) is often constructed as a set of features, such that individual products can be assembled from a set of common features and a selection of optional features. Although features are conceptualized, developed, and evolved as separate concerns, it is often the case that, in practice, they interfere with each other -- called a feature interaction. In this paper, we precisely define what it means for one feature to have a behaviour interaction with another feature, where the behaviour of one feature is affected by the presence of another feature. Specifically, we use a form of bisimilarity to define when the behaviour of a feature in isolation differs from its behaviour in the presence of an interacting feature. We also consider the case where features are modelled in a language that allows the specification of intended interactions, and we adapt our use of bisimilarity to provide a formal definition for unintended behaviour interactions.
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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 | 0.001 |
| 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 | 0.000 |
| 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