This data corresponds to 1000 observations sampled from the fourth benchmark of the well-known suite for real-time systems EEMBC AutoBench suite (Poovey, 2007), including a number of of programs used in automotive embedded systems. It corresponds to the matrix arithmetic (MA) algorithm.
MAA numeric vector.
Abella J., Padilla, M.,del Castillo, J. & Cazorla, F. (2017). Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation". ACM Transactions on Design Automation of Electronic Systems (TODAES), 22(4).
Poovey, J. (2007). Characterization of the EEMBC Benchmark Suite. North Carolina State University.