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I kind of get this, but what about this use case: I have software that is in production and has been for awhile. I've locked down all the versions of libraries
by jharger 10y ago
I kind of get this, but what about this use case:
I have software that is in production and has been for awhile. I've locked down all the versions of libraries I've used (FFF works here) and everything is running smoothly.
However, a large customer requests a new feature, and I see that library X has a new version that has new features that will support development for the new customer feature.
With semver, I can see that this new version is, say, 2.3.0. If I was using 2.2.x, I have at least some assurance that the API I was using before hasn't changed, so the amount of work to upgrade is likely limited to implementing new features, and not converting and re-testing older code.
However, with the FFF rule, it seems that the new version would change (due to form/fit (api?] or function changing), and all I know is that this version is new, and I have no indication how much work it would be to upgrade, other than assume the worst case that existing APIs have changed.
I could see why the manufacturing methods might make sense, especially in certified software... but in the wild west of web development, I have a feeling it would never catch on.
- oso2k 10y agoFFF would say that you release a new part number. But, it does not say how you name your part. So, you can essentially use a SemVer technique to indicate the same family of functionality with some sort of indication non-compatibility. Part Name: MY SW 2.0 Predecessor Part Number: 150000-0001 Part Number: 200000-0001 And you have Part Name: MY SW 2.0-IBM Predecessor Part Number: 200000-0001 Part Number: 200001-0001 Say your added features to your IBM branch caused some regression. So now you have a second build that is compatible but required a bug fix. Now you have Part Name: MY SW 2.0-IBM Predecessor Part Number: 200001-0001 Part Number: 200001-0002 The biggest thing you should take away is that Enterprise Manufacturing and Inventory systems do not try to stuff all the knowledge about a product history into a single field, as SemVer attempts to.