Abstract: A method for automatic identification of execution phases in load test data includes receiving load test data indicating processor utilization for threads over a period of time divided into a plurality of intervals. For each pair of proximate intervals, it is determined whether thread-wise processor utilization for a first interval is statistically indistinguishable from that of a second interval. The pair of proximate intervals is combined when it is determined that the processor utilization for the first interval is statistically indistinguishable from that of the second interval. Each of the pair of proximate intervals is divided into subintervals when it is determined that the first interval is not statistically indistinguishable the second interval. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent.

Abstract: A method for automatic identification of execution phases in load test data includes receiving load test data. A period of time of the load test data is divided into a plurality of intervals. For each pair of proximate intervals of the plurality of intervals, a first interval is compared with a second interval to determine whether application execution characteristics for each of the pair of proximate intervals are substantially equivalent. The pair of proximate intervals is combined into a single interval when it is determined that the pair is substantially equivalent. Each of the pair of proximate intervals is divided into subintervals when it is determined that the pair of proximate intervals is not substantially equivalent. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent.

Abstract: A method for automatic identification of execution phases in load test data includes receiving load test data indicating processor utilization for threads over a period of time divided into a plurality of intervals. For each pair of proximate intervals, it is determined whether thread-wise processor utilization for a first interval is statistically indistinguishable from that of a second interval. The pair of proximate intervals is combined when it is determined that the processor utilization for the first interval is statistically indistinguishable from that of the second interval. Each of the pair of proximate intervals is divided into subintervals when it is determined that the first interval is not statistically indistinguishable the second interval. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent.

Abstract: A method for automatic identification of execution phases in load test data includes receiving load test data. A period of time of the load test data is divided into a plurality of intervals. For each pair of proximate intervals of the plurality of intervals, a first interval is compared with a second interval to determine whether application execution characteristics for each of the pair of proximate intervals are substantially equivalent. The pair of proximate intervals is combined into a single interval when it is determined that the pair is substantially equivalent. Each of the pair of proximate intervals is divided into subintervals when it is determined that the pair of proximate intervals is not substantially equivalent. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent.