Safe program merges at scale: A grand challenge for program repair research

Since the computing world began embracing an open-source approach to programming, building software has become increasingly collaborative. Members of development teams with as few as two developers and as many as thousands are simultaneously editing different components in creating software systems and keeping them functioning optimally, and a three-way merge is the mechanism for integrating changes from these individual contributors. But with so many people independently altering code, it’s unsurprising that updates don’t always synchronize, resulting in bad merges.

Bad merges can take a range of forms. For example, textual merge conflicts occur when the changes from two branches can’t be integrated by the default text-based merge algorithms used by version control systems such as Git, Concurrent Versions System (CVS),

 

 

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