Analytical information systems performance analysis: methodology for timetable and staff quantity evaluation

The approach proposed earlier to evaluate the software performance based on simulation and statistical processing of experimental results is developed for the needs of staff management of an analytical information system (AIS). To this purpose, staff responsibilities are classified to decompose the major AIS tasks solved by the corresponding application software. The paper presents methodical recommendations how to choose a set of timetable characteristics and observable metrics and collect related statistical information during the AIS testing and operation. The paper also contains the algorithms for calculation of the parameters of operations timetable and their statistical refinement. The methodology for assessing the performance of staff and the required number of staff is illustrated by simple examples.