1. A performance testing script matrix was created based on the existing process registries and ERP database layout test cases.
2. Quantitative and target operation indicators were averaged based on data from real ERP customer bases and expert estimates. The number of input documents of each type per day, the number of users and the testing time were provided at script input. The system itself calculated how many documents and reports should be created and processed in a specified period of time and at what interval.
3. Tests were conducted within several user groups. The group consisted of 4 users, each of which had its own role and a list of sequential operations that each user performs:
- the number of user groups was calculated using the formula N = K / 4, where K is the number of users (based on the assumption that there are 4 users in one group);
- the number of chains per group was calculated based on the fact that one group per day makes 24 chains in 8 working hours. Thus, in 1 hour, one group makes 24/8 = 3 chains at 20-minute intervals;
- the number of items in the array from which the item will be randomly selected into the receiving document was calculated using the formula: P = (K / 4) * 10 * 93%, where K is the number of user.
4. At each testing stage, the following Apdex indicators were determined for the system load per user:
a. Disk accesses per second;
b. RAM consumption;
c. Processor power consumption.▰
5. Equipment parameter requirements for 150 ERP users were calculated based on these indicators.▰
6. Subsequently, the same tests were conducted for 150 users based on these calculations. Theoretical estimates were verified with actual calculations; error coefficient was derived.▰
7. Subsequently, iterations of Apdex tests were repeated for 100, 200 and 500 users. Theoretical estimates were compared with actual calculations for each iteration, error coefficient was derived.▰
8. As a result, theoretical calculations were performed for 1,500 ERP users by direct extrapolation of measurements obtained on smaller volumes.