Metamodeling to Control and Audit E-Commerce Web Applications
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
Abstract With the increasing popularity of e-commerce, the growth potential of business is extraordinary; however, the path toward success can also be dangerous because of problems of quality control, security breaches, and e-service failures. One of the problems is that business managers generally lack sufficient assurance that the controls over e-processes are effective and efficient and that information announced to customers is correct and reliable. Powerful metamodeling is therefore required. The objective of this research is to develop an e-process audit mechanism by applying automatic model checking to check consistency between e-process flows implemented and those originally designed; to detect errors in the structure and contents of Web applications; and to assist the internal control and assurance managers with their frequent monitoring of the internal controls of Web applications. A prototype has been developed to evaluate the feasibility of the mechanism and has been applied in a real e-commerce case. The results show that it proved useful for the internal control and assurance purposes in the case company. Keywords: E-commerce auditmetamodelingmodel checkingprocess consistencyWeb application
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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