Process attribute ID

PA 4.1

Process attribute name

Quantitative analysis process attribute

Process attribute scope

The quantitative analysis process attribute is a measure of the extent to which information needs are defined, relationships between process elements are identified and data are collected.

Process attribute achievements

1) Process information needs in support of relevant defined quantitative business goals are established.

2) Measurable relationships between process elements that contribute to the process performance, and data collection techniques and data collection frequency, are identified.

3) Process measurement objectives are derived from process information needs.

4) Techniques for analyzing the collected data are selected.

5) Quantitative control limits for process performance in support of relevant business goals are established.

6) Results of measurement are collected, validated and reported in order to monitor the extent to which the quantitative targets/objectives for process performance are met.

Note: Information needs typically reflect management, technical, project, process or product needs.

Generic practices

GP 4.1.1 Identify business goals.

Business goals are identified that are supported by the quantitatively measured process.

GP 4.1.2 Establish process information needs.

Stakeholders of the identified business goals and the quantitatively measured process are identified, and their information needs are defined and agreed.

GP 4.1.3 Identify measurable relationships between process elements.

Identify the relationships between process elements, or sets of process elements, which contribute to the process information needs.

Note 1: Examples of process elements are documented information items, activities, tasks.

GP 4.1.4 Derive process measurement approach and select analysis techniques.

Based on the measurable relationships of process elements, or set of process elements, the process measurement metrics are derived to satisfy the established process information needs.

Frequency of data collection is defined.

Select analysis techniques, appropriate to collected data.

Algorithms and methods to create derived measurement results from base measures are defined, as appropriate.

Verification mechanism for base and derived measures is defined.

Note 2: Typically, the standard process definition is extended to include the collection of data for process measurement.

GP 4.1.5 Establish quantitative control limits.

Establish quantitative control limits for the derived metrics. Agreement with process stakeholders is established.

GP 4.1.6 Collect product and process measurement results through performing the defined process.

Data collection mechanisms are created for all identified metrics.

Required data is collected across process instances of within the defined frequency and recorded.

Measurement results are analyzed and reported to the identified stakeholders.

Note 3: A product measure can contribute to a process measure, e.g., the productivity of testing characterized by the number of defects found in a given timeframe in relation to the product defect rate in the field.

PA 4.1 - Quantitative analysis process attribute

Achievement 1

Achievement 2

Achievement 3

Achievement 4

Achievement 5

Achievement 6

Output Information Items

IIC’s will be added with the final version of Automotive SPICE 4.0

Generic Practices

GP 4.1.1 Identify business goals

X

GP 4.1.2 Establish process information needs

X

GP 4.1.3 Identify measurable relationships between process elements

X

GP 4.1.4 Derive process measurement approach and select analysis techniques

X

X

GP 4.1.5 Establish quantitative control limits

X

GP 4.1.6 Collect product and process measurement results through performing the de-fined process

X

Process attribute ID

PA 4.2

Process attribute name

Quantitative control process attribute

Process attribute scope

The quantitative control process attribute is a measure of the extent to which objective data are used to manage process performance that is predictable.

Process attribute achievements

1) Variations in process performance are identified.

2) Assignable causes of process variation are determined through analysis of the collected quantitative data.

3) Distributions that characterize the performance of the process are established.

4) Corrective actions are taken to address assignable causes of variation.

Generic practices

GP 4.2.1 Identify variations in process performance.

Deviations in the performance of process instances from the established quantitative control limits are determined based on the collected quantitative measurement data.

GP 4.2.2 Identify causes of variation.

The determined deviations in process performance are analyzed to identify potential cause(s) of variation using the defined analysis techniques.

Distributions are used to quantitatively understand the variation of process performance under the influence of potential causes of variation.

Consequences of process variation are analyzed.

GP 4.2.3 Identify and implement corrective actions to address assignable causes.

Results are provided to those responsible for taking action.

Corrective actions are determined and implemented to address each assignable cause of variation.

Corrective action results are monitored and evaluated to determine their effectiveness.

Note 1: Assignable cause may indicate a possible problem in the defined process.

PA 4.2 - Quantitative control process attribute

Achievement a

Achievement b

Achievement c

Achievement d

Output Information Items

IIC’s will be added with the final version of Automotive SPICE 4.0

Generic Practices

GP 4.2.1 Identify variations in process performance

X

GP 4.2.2 Identify causes of variation

X

X

GP 4.2.3 Identify and implement corrective actions to address assignable causes

X