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Quantifying The Qualitative: 
how to avoid vague requirements by means of clear specification language

 

Finding Scales of Measure for Less-Obvious Requirements.

Now, if we can just apply these ideas to all qualitative requirements we would have pretty clear requirements ideas. But a critical problem remains.

If I say weight: you think {Pound, Kilos, Tons, Grams, Ounces}. For some concepts we have immediate cultural access to one or more acknowledged scales of measure. Often with internationally standard definitions.

But, for most of the requirements we will deal with in real life, we cannot think of a scale of measure at all. Nothing readily comes to mind. And we are not trained to ‘develop’ the scales of measure. We do not have a catalogue in which to look them up. We do not have a culture that demands that we find them. So, we give up. We make excuses: ‘it is qualitative’, ‘it is not measurable’; all of which means that we are unnecessarily defeated in getting control over the concepts. They have won the battle and vagueness can ravage our systems at its leisure.

These are concepts like: -

  • ‘easy to maintain’
  • ‘portable’
  • ‘secure’
  • ‘user-friendly’
  • ‘safe’
  • ‘adaptable’

Yet surely there must be some approach to quantifying these concepts? We are interested in them because if they are at ‘bad’ levels, they cost us time and money. So, it is ‘in the cards’ that there must be some way to express how much damage or good the different degrees of them can cause us.

And, a little common sense will get you to acknowledge that we could, for example, use scales of measure like the simplifications below:
 

Maintainable: Scale: how fast we can fix something

Portable: Scale: how much effort to move to a new environment compared to total new construction there.

Secure: Scale: the % of defined classes of attacks which would fail to penetrate the system in defined ways.

User-Friendly: Scale: The time needed for defined people to master defined tasks.

Safe: Scale: the probability that defined dangers will result in defined bad results.

Adaptable: Scale: the time or effort needed to adapt defined systems to defined new requirements.
 



Derivations of basic scale definitions
Many of these are obvious when stated, but we may never have seen them before, so we have some difficulty ‘inventing’ them. However there seem to be a few basic patterns of scales of measure, and everything else seems to be a dialect or derivation. I have defined many of the basics in more detail in my book ‘Principles of Software Engineering Management’ (POSEM). The reader is encouraged to copy and make these ideas available to themselves and their colleagues.


Continuous Improvement on your basic catalogue of Scale definitions

In addition, once you have derived your scales of measure for your organization’s projects, you will find that the work you have already done, can usefully be stored and retrieved for future projects. Sometimes it takes a lot of work to ‘craft’ a really good scale of measure. And some experience to know if it is good and useful. So we need to be in a systematic continuous learning mode about these ideas.
 

A Defined Process for Finding Scales of Measure for Quality Requirements
In my free Web publication "Requirements-Driven Management" (RDM, 4.4) there is a slightly more detailed rigorous process defined for quantifying quality, and the entire book manuscript gives all manner of supporting detail. But I shall give you the essence here and now:

  1. Use your common sense to try to work out a scale of measure
     
  2. Look up similar scales of measure ideas in books and handbooks, including your own company collection of such scales of measure from previous projects
     
  3. Tailor the definition to your current purpose, using [generic scale definitions] and corresponding [qualifiers] in the target requirements statement
     
  4. If the concept is complex, and no suitable scales seem to cover what you want control over, then consider ‘exploding’ the concept into sub-concepts until such a level of detail at which you are satisfied. Then proceed to step one above for each of the elements of your definition’s explosion

more...

©Tom Gilb 2005 
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