Mapping the OO-Jacobson approach into function point analysis
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
Function point analysis measures user requested functionality independent of the technology used for implementation. Software applications are represented in an abstract model that contains the items that contribute to the functional size. When function point analysis is applied to object-oriented software, the concepts of the development method have to be mapped into that abstract model. The article proposes a mapping of the use case driven object-oriented software engineering method by Jacobson et al. (1992) into the abstract function point model. The mapping has been formulated as a small set of concise rules that support the actual measurement process. The work demonstrates the applicability of function point analysis as a measure of functional software size to the OO-Jacobson approach. This supports the thesis that function point analysis measures independent of the technology used for implementation and that it can be used in the object-oriented paradigm.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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