..
   # *******************************************************************************
   # Copyright (c) 2025 Contributors to the Eclipse Foundation
   #
   # See the NOTICE file(s) distributed with this work for additional
   # information regarding copyright ownership.
   #
   # This program and the accompanying materials are made available under the
   # terms of the Apache License Version 2.0 which is available at
   # https://www.apache.org/licenses/LICENSE-2.0
   #
   # SPDX-License-Identifier: Apache-2.0
   # *******************************************************************************

03-xx
~~~~~

.. std_req:: 03-06 Process performance information
   :id: std_req__aspice_40__iic-03-06
   :status: valid

   Process performance information may have the following characteristics:

   - Measurements about defined quantitative or qualitative measurable indicators, that match defined information needs.
   - Measurement metrics for the calculation of the quantitatively or qualitatively measurable indicators
   - Data comparing process performance against expected levels
   - Examples for project performance information:
       - resource utilization against established target
       - time schedule against established target
       - activity or task completion criteria met
       - defined input and output work products available
       - process quality against quality expectations and/or criteria
       - product quality against quality expectations and/or criteria
       - highlight product performance issues, trends
   - Examples for service level performance information:
       - references any goals established
       - real time metrics related to aspects such as:
       - capacity
       - throughput
       - operational performance
       - operational service
       - service outage time
       - up time
       - job run time

.. std_req:: 03-50 Verification Measure Data
   :id: std_req__aspice_40__iic-03-50
   :status: valid

   Verification Measure Data may have the following characteristics:

   - Verification measure data are data recorded during the execution of a
      verification measure, e.g.:

      - for test cases: raw data, logs, traces, tool generated outputs
      - measurements: values
      - calculations: values
      - simulations: protocol
      - reviews such as optical inspections à findings record
      - analyses: values

.. std_req:: 03-51 ML data set
   :id: std_req__aspice_40__iic-03-51
   :status: valid

   - Selection of ML Data for e.g., ML model training (ML Training and Validation Data Set) or test of the trained and deployed ML model (ML Test Data Set).

.. std_req:: 03-53 ML data
   :id: std_req__aspice_40__iic-03-53
   :status: valid

   - Datum to be used for Machine Learning. The datum has to be attributed by metadata, e.g., unique ID and data characteristics. Examples:
      - Visual data like a photo or videos (but a video could also be considered as sequence of photos depending on the intended use)
      - Audio recording
      - Sensor data
      - Data created by an algorithm
      - Data might be processed to create additional data. E.g., processing could add noise, change colors or merge pictures.

.. needextend:: "c.this_doc()"
   :+tags: aspice40_iic03