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# System prepended metadata

title: Untitled

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## Quality model

![](https://i.imgur.com/5V1GLSe.png)

![](https://i.imgur.com/qf51Iwj.png)


![](https://i.imgur.com/jkTGPxR.png)

![](https://i.imgur.com/KO4UVen.png)




Quality characteristics which we are interested in:

### Compliance - farfetching conclusions from Security testing:
Whether the library poses financial or reputational risks to the company

Security


### Mission critical - search for analogues:
Is the library the best fit for the company needs

Fetch api vs Axios

### Maintainability - graphics:
Code coverage [badge and report](https://coveralls.io/github/mzabriskie/axios) is outdated (last run on 27.09.17), but still in the main README.md

Are there any guarantees that the library will be maintained and improved - 
1. ![](https://i.imgur.com/7VzpwQf.png)
2. ![](https://i.imgur.com/rRr6tJx.png)
3. ![](https://i.imgur.com/UjplLsU.png)
4. ![](https://i.imgur.com/AkyplBZ.png)
5. ![](https://i.imgur.com/j0TwD4V.png)


### Security - Daniil:
Lack of malicious code blocks and files that could steal corporate information or simply spread false informationth

Static Analysis Security Scan audit by SonarQube, NodeJSScan, Semgrep. Nothing serious was found.
Git secret search by Gitleaks, Git Secrets. No secrets was found!!!! YEEEEE!
DEPENDENCY CHECK BY NPM AUDIT. HIGH SEVERITY VULNERABILITIES WAS FOUND. PLS SEND 300 $ BUG BOUNTY.


### Correctness:
Adherence to the specific actions that determine how users can intetact with the software and how the software should behave when it is used correctly

benchmarking
fuzz testing


