Continuous Integration (CI) is a practice widely adopted in the industry to allow frequent integration of code changes. During the CI process, many test cases are executed multiple times a day, subject to time constraints. In this scenario, a learning-based approach, named COLEMAN, has been successfully applied. COLEMAN allows earlier execution of the most promising test cases to reveal faults. This approach considers CI particularities such as time budget and volatility of test cases, related to the fact that test cases can be added/removed along the CI cycles. In the CI of Highly Configuration System (HCS), many product variants must be tested, each one with different configuration options, but having test cases that are common to or reused from other variants. In this context, we found, by analogy, another particularity, the volatility of variants, that is, some variants can be included/discontinued along CI cycles. Considering this context, this work introduces two strategies for the application of COLEMAN in the CI of HCS: the Variant Test Set Strategy (VTS) that relies on the test set specific for each variant, and the Whole Test Set Strategy (WST) that prioritizes the test set composed by the union of the test cases of all variants. Both strategies are evaluated in a real-world HCS, considering three test budgets. The results show that the proposed strategies are applicable regarding the time spent for prioritization. They perform similarly regarding early fault detection, but WTS better mitigates the problem of beginning without knowledge, and is more suitable when a new variant to be tested is added. CCS CONCEPTS • General and reference → Experimentation; • Software and its engineering → Software product lines; Software testing and debugging.

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