Maturity Level concept using Automotive SPICE
CL & ML : Differences
CL & ML Assessment : Steps
Characteristics
|
Capability Level (CL)
|
Maturity Level (ML)
|
Result Applicability
|
Process
|
Organization
unit
|
Scope
Process & CL
|
§ Any number of processes can be
selected (mostly – VDA Scope).
§ CL can be defined for
respective process.
|
§ Pre-defined set of
processes for respective ML
|
Scope
Project
|
§ Single project
(mostly)
OR
§ Multiple projects
|
§ Class 1: 4 instances (Minimum)
§ Class 2: 2
instances (Minimum)
§ Multiple projects to represent “organization
unit” appropriately.
§ Minimum number of sample shall
satisfy “Class” of assessment rule.
|
Rating Aggregation
|
§ No aggregation within project
(mostly)
§ For multiple projects - aggregation as per rule (R1/R2/R3) can be applied. |
§ Aggregation is done as rule rating
rule
o
R1 – Rate BP/GP &
aggregate
o
R2 – Rate PA &
aggregate
|
CL & ML Assessment : Steps
#
|
Capability Level (CL)
|
Maturity Level (ML)
|
1
|
§ Identify project (or Projects)
|
§ Define assessment scope
o ML (Predefined process set get selected)
o Class of assessment
|
2
|
§ Define assessment scope
o Processes – as per project(s) development scope
o CL for respective processes
|
§ Define rating rule
o R1: Rate BP/GP & aggregate
o R2: Rate PA & aggregate
|
3
|
§ Define rating rule
o R3: Rate PA & no aggregation (mostly used)
o R2: Rate PA & aggregate
o R1: Rate BP/GP & aggregate
|
§ Select projects (sampling) to represent OU &
satisfy rule of “Class of assessment”
o Class 1 : minimum 4 instances
o Class 2: minimum 2 instances
|
4
|
§ Perform assessment as per #2
|
§ Perform assessment s per #3
|
5
|
§ Derive process capability as per #3 & report
the result
|
§ Derive ML rating as per#2 & report the result
|
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