Expected Role count

View in library docs
eRole(g)\mathit{e}\mathit{Role}(g)
Dimension:
General
Granularity:
Group of cases

Description

Expected number of human resource roles that are involved in the execution of a case belonging to a group of cases.

Potential use

Calculation of several other PPIs.

Assumptions

-

Desired Value:

-

Required attributes

case
role

Equations

Formula for practitioners

ccases(g)Role(c)C(g)\frac{\sum_{c \in \mathit{cases}(g)} \mathit{Role}(c)}{\mathit{C}(g)}

cases(g)\mathit{cases}(g) returns the set of cases in group of cases gg.
Role(c)\mathit{Role}(c) returns the role count of case cc.
C(g)\mathit{C}(g) returns the case count of group of cases gg.

Formal Definition

cgRole(c)C(g)\frac{\sum _{c \in g} \mathit{Role}(c)}{\mathit{C}(g)}

Tags

case
role

Python implementation

This indicator is implemented in the process_performance_indicators Python library.

process_performance_indicators.indicators.general.groups.expected_role_count