1. A machine-implemented method to identify data strings for localization testing, comprising: determining, for a plurality of data strings, a change status identifying whether each data string has changed; determining, for at least a subset of the plurality of data strings that have changed, a localization status identifying whether each data string has been translated to a local language; calculating, based on the change status and the localization status, a localization test status comprising: a first localization test status indicating that a first data string has changed, has been translated into a local language, and is ready to be localization tested for translation quality; a second localization test status indicating that a second data string has changed, has been translated into a local language, and has been localization tested for translation quality; and a third localization test status indicating that a third data string has changed, has not been translated into a local language, and is not ready to be localization tested; rendering a visual marker overlaid atop each data string of at least the subset of data strings indicating the localization test status, wherein a first visual marker indicates the first localization test status, a second visual marker indicates the second localization test status, and a third visual marker indicates the third localization test status; and presenting, in a display, the first data string with the first visual marker, the second data string with the second visual marker, and the third data string with the third visual marker to enable a user to visually distinguish between the localization test statuses for at least the subset of data strings so as to identify one or more data strings of the plurality of data strings that are ready for localization testing.