What this heading covers
The number is the easy part; the conditions are the measure. Load, data volume, hardware, network and concurrent users all move the result, and the draft has no target values, so the requirement has to supply them. The family covers both response time, which a user feels, and processing time, which a batch or a job consumes. A measure that reports an average without a distribution hides the tail, and the tail is what users complain about.
Record position: family 4 of 40 in clause 6, under 6.3 Performance efficiency, which carries 3 families. It is one of the 40 families a programme has to map its measures to, and its elements are listed below. The heading is 6.3.2 in the public contents; the text behind it is not public.
How a measure for this family is built
Take the count of operations whose time is within the stated limit as the numerator and the count of operations measured as the denominator. Report the percentile that matters for the task as well as the mean, and record the profile. A mean alone is not a defensible time behaviour measure.
Our worked formula
Operations within the stated time divided by operations measured, at a named percentile and a recorded load profile.
Measure elements that can feed it
Duration, Number of system operations, Number of user operations
Chosen by us from the thirty-one quality measure elements named in Annex B. The draft does not publish which elements feed time behaviour, so the choice above is a worked example, not the draft's assignment.
What to put in place before publication
- Record the load profile with every result, and keep the raw timings.
- State the percentile and the limit the result is judged against.
Evidence to keep
| Kind | What it looks like |
|---|---|
| Profile | The load, data volume and environment for the measurement |
| Sample | The raw timings with the operation and the timestamp, not only the summary |
The test a reviewer asks
- Can the result be reproduced from the recorded profile?
- Is the tail reported, or only the mean?
Two questions to ask
- What load, data volume and hardware produced this response time?
- Which percentile is reported, and what is the limit it is judged against?
Where teams usually fall short
- A response time from a warm cache on a developer machine, presented as the product result.
What the number cannot tell you
It cannot tell you how the product behaves at a load you did not test. A fast result on a quiet system says nothing about the peak.
What happens next
Read capacity next, because time behaviour at the limit is a different question from time behaviour at rest.
Source
ISO Online Browsing Platform, free preview of ISO/IEC DIS 25000-23.2 https://www.iso.org/obp/ui#iso:std:iso-iec:25000:-23:dis:ed-1:v2:en read 22 October 2026
ISO/IEC 25010:2023, Product quality model https://www.iso.org/standard/78176.html read 22 October 2026
ISO/IEC 25023:2016, Measurement of system and software product quality https://www.iso.org/standard/35747.html read 22 October 2026