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Lecture Notes in Computer Science
This paper proposes a mutation testing approach for big data processing programs that follow a data flow model, such as those implemented on top of Apache Spark. Mutation testing is a fault-based technique that relies on fault simulation by modifying programs, to create faulty versions called mutants. Mutant creation is carried on by operators able to simulate specific and well identified faults. A testing process must be able to signal faults within mutants and thereby avoid having illdoi:10.1007/978-3-030-49435-3_30 fatcat:o3sokdt6kncytou4jdclm555pe