Evaluating Security in Web Application Design Using Functional and Structural Size Measurements
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
Because of software requirements play a critical role in software development projects, measuring the non-functional requirements as well as functional requirements is therefore not to be trifled with. Software security as a non-functional requirement is one of the most important quality characteristic that is recently added in the ISO 25010 quality models (previously defined as sub characteristics in ISO 9126). This characteristic must be evaluated cautiously and precisely during all the software life-cycle and especially early in the design phase. The purpose of this paper is early evaluating security in web application. To achieve this purpose, we propose to measure the quality attributes of authenticity through a combination of functional and structural size of the authenticity sequence diagram at the design phase. This combination of measurement can be used to identify the risk of violation of authenticity in web application design. An example of GeoNetwork web application is used to illustrate our proposed measurement for evaluating security as defined by ISO/IEC 25010.
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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 | 0.000 | 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