The Impact of Requirements Knowledge and Experience on Software Architecting: An Empirical Study
Why this work is in the frame
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Bibliographic record
Abstract
While the relationship between Requirements Engineering and software architecture (SA) has been studied increasingly in the past five years in terms of methods, tools, development models, and paradigms, that in terms of the human agents conducting these processes has barely been explored. This paper describes the impact of requirements knowledge and experience (RKE) on SA tasks. Specifically, it describes an exploratory, empirical study involving a number of architecting teams, some with requirements background and others without, all architecting from the same set of requirements. The overall results of this study suggest that architects with RKE perform better than those without, and specific areas of architecting are identified where these differences manifest. We discuss the possible implications of the findings on the areas of training, education and technology.
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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 | 0.000 |
| 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 | 0.000 |
| 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