Mining Software Repositories and Information Visualization for Empirically Robust Testing of Variable Software

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In modern software systems "one-size fits all" does not hold because they must be customized to fit the needs of diverse and large populations of users. Variable software refers to this type of software systems that can be configured in a large number of ways, and that stem primarily from the adoption of generator-based techniques, full-blown Software Product Line (SPL) approaches, advanced modularization paradigms, highly-configurable systems, or ad hoc reuse practices collectively called clone-and-own. Testing variable software is specially challenging because of the typically large number of configurations that must be tested, a fact that makes it unfeasible to test each individual configuration.