Taking data structures, protecting information, history of computation and a few discrete math classes would tremendously help ERC20 developers. Furthermore, many programmers don’t have the right math skills. MIT OpenCouseWare has some great math+CS classes. I revisit them often.
Thus the many bugs and hacks we've seen with even the seemingly simple process of issuing ERC20 tokens.https://twitter.com/dmitry_yunodo/status/1050796103325687808 …
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Great recommendations. Also some specifics on the software engineering of must-be-extremely-reliable-when-first-used systems such as implanted medical devices.
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Certainly! Even traditional quality assurance(QA) processes would make a difference. Test code quality, systems architecture, penetration/vulnerabilities, operations, team, users, deployment readiness, etc. Publicly releasing QA reports for comment before launch would also help.
End of conversation
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