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At the heart of Branch-Per-Feature, is the notion of using source control in a manner that allows multiple teams or individuals to work on the same software system without clobbering each other with change sets. That is, we should be able to work in a manner that allows Feature Team A (FTA) and Feature Team B (FTB) to work independently of each other. FTA should be able to analyze, code, test, and deliver their feature without any regard for the work that FTB is currently engaged in. When either team is finished with their work, the other team will merge the now stable feature changes into their branch, and continue on from there.
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At a very high level, all branching strategies have the same core policies: create the branch when you are confident that the cost of branching and merging is less than the cost of committing to the main source line, and merge when you are “done, done” making changes in that branch. There are many branching strategies that are very useful. You can branch per iteration or sprint, branch per sub-team, branch-per-release, branch per feature or defect, etc. Most likely, though, you will find yourself in scenarios where a policy of a single branching strategy is not feasible. The real world is full of fun surprises and little nuances that can make a single strategy good, bad or otherwise – all within the same project.
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Branching and merging are never free operations. Even if you are using a source control system that makes the mechanical process of branching and merging negligible, there are other costs that need to be accounted for than just the button clicks or commands that are required for a developer to commit changes.
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People keep saying that Entity Framework is simple to learn. Simple? Well, finally, we're going to be forced to agree, thanks to James Johnson's new series on learning EF the 'hands-on' way.
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