[SystemSafety] Software reliability (or whatever you would prefer to call it)

GRAZEBROOK, Alvery N alvery.grazebrook at airbus.com
Tue Mar 10 16:32:39 CET 2015


Hi Bev.

Thanks for addressing the issue of language / terminology.

In the world of embedded control systems, I have seen various attempts to dodge standards for design, by playing with the semantics around the word "Software". There are two specific classes of dodging I can think of,

1.     - using programmable electronics or high-state digital circuitry and claiming that software design practices don't apply. In civil aero world they introduced DO-254 in addition to DO-178 to cover this.

2.      - using data tables to describe behaviour, and claiming that only the table interpreter not the contents are software.
I'm sure list members will think of other examples. If the language of the standards talked of "system behaviour" or "design behaviour" including Software, I think this would remove such issues.

My feeling is that it would be helpful to talk of "complex design" including the software, attached electronics, and if applicable complexities in the controlled equipment and "plant", and consider the (systematic) design reliability of all of this. Separating the part that is labelled as "software" from its electronic and physical world context isn't helpful.

This sits alongside the "traditional" component reliability approaches that deal with the (non-systematic) failure of equipment due to limited life, damage, random failure etc.

*Note: these are my personal opinions, not necessarily those of my employer*

Cheers,
            Alvery.

From: systemsafety-bounces at lists.techfak.uni-bielefeld.de [mailto:systemsafety-bounces at lists.techfak.uni-bielefeld.de] On Behalf Of Littlewood, Bev
Sent: 10 March 2015 11:45 AM
To: C. Michael Holloway
Cc: systemsafety at lists.techfak.uni-bielefeld.de
Subject: Re: [SystemSafety] Software reliability (or whatever you would prefer to call it)

Hi Michael

Seems you are speaking for Nick! (see his most recent posting) Of course the distinction you make here is an important one - I think we can all agree on that. Not least because our actions in response to seeing failures from them will be different (in the case of design faults - inc. software faults - we might wish to remove the offending fault).

But excluding design faults as a source of (un)reliability results in a very restrictive terminology. I realise that appealing to "common sense" in a technical discussion is often the last refuge of the scoundrel... But I don't think that the man in the street, contemplating his broken-down car (in the rain - let's pile on the pathos!), would be comforted to be told it was not unreliable, it just had design faults.

And, of course, your interpretation seems to rule out the contribution of human fallibility (e.g. pilots) to the reliability and/or safety of systems. This seems socially unacceptable, at least to me.

Cheers

Bev


On 10 Mar 2015, at 10:34, C. Michael Holloway <c.m.holloway at nasa.gov<mailto:c.m.holloway at nasa.gov>> wrote:

I can't speak for Nick, but I object to the use of the term "reliability" being applied to anything other than failures (using the term loosely) resulting from physical degradation over time.  I believe it is important to maintain a clear distinction between undesired behavior designed into a system, and undesired behavior that arises because something ceases to function according to its design.  (Here "designed / design" is used broadly.  It includes all intellectual activities from requirements to implementation.)

--
cMh

C. Michael Holloway
The words in this message are mine alone; neither blame nor credit NASA for them.

On 3/10/15 5:50 AM, Peter Bishop wrote:
Now I think I understand your point.
You just object to the term *software* reliability

If the term was *system* reliability in an specified
operational environment, and the system contained software
and the failure was always caused by software
- I take it that would be OK?

A alternative term like *software integrity* or some such would be needed to describe the property of being correct or wrong on a given input.
(In a lot of mathematical models this is represented as a "score function" that is either true or false for each possible input)

Peter Bishop

Nick Tudor wrote:

Now back in the office...for a short while.

Good point David - well put.
I would have responded: There exists a person N who knows a bit about mathematics.  Person N applies some mathematics and asserts Truth.  Unfortunately, because of the incorrect application of the mathematics, the claims N now makes cannot be relied upon.  The maths might well be correct, but the application is wrong because - and I have to say it yet again - the application misses fails to acknowledge that it is the environment that is random rather than the software.  Software essentially boils down to a string of one's and nought's. Given the same inputs (and that always comes from the chaotic environment) then the output will always be the same.  It therefore makes no sense to talk about 'software reliability'.

Nick Tudor
Tudor Associates Ltd
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On 9 March 2015 at 12:26, David Haworth <david.haworth at elektrobit.com<mailto:david.haworth at elektrobit.com> <mailto:david.haworth at elektrobit.com><mailto:david.haworth at elektrobit.com>> wrote:

    Peter,

    there's nothing wrong with the mathematics, but I've got
    one little nit-pick about its application in the real world.

    The mathematics you describe gives two functions f and g,
    one of which is the model, the other is the implementation.

    In practice, your implementation runs on a computer and so the
    domain and range are not "the continuum". If your model is mathematical
    (or even runs on a different computer), the output of one will
    necessarily be different from the output of the other. That
    may not be a problem in the discrete sense - you simply specify a
    tolerance t > 0 in the form of:

    Corr-f-g(i) = 0 if and only if |f(i)-g(i)| < t

    etc.

    The problem becomes much larger in the real world of control
    systems where the output influences the next input of the
    sequence. The implementation and the model will tend to drift
    apart. In the worst case what might be nice and stable in the
    model might exhibit unstable behaviour in the implementation.

    You're then in the subject of mathematical chaos, where a
    perfectly deterministic system exhibits unstable and unpredictable
    behaviour. However, this email is too small to describe it. :-)

    Cheers,
    Dave

    On 2015-03-09 11:48:57 +0100, Peter Bernard Ladkin wrote:
     > Nick,
     >
     > Consider a mathematical function, f with domain D and range R.
    Given input i \in D, the output is f(i).
     >
     > Consider another function, g, let us say for simplicity with the
    same input domain D and range R.
     >
     > Define a Boolean function on D, Corr-f-g(i):
     >
     > Corr-f-g(i) = 0 if and only if f(i)=g(i);
     > Corr-f-g(i) = 1 if and only if f(i) NOT-EQUAL g(i)
     >
     > If X is a random variable taking values in D, then f(X), g(X) are
    random variables taking values in
     > R, and Corr-f-g(X) is a random variable taking values in {0,1}.
     >
     > If S is a sequence of values of X, then let Corr-f-g(S) be the
    sequence of values of Corr-f-g
     > corresponding to the sequence S of X-values.
     >
     > Define Min-1(S) to be the least place in Corr-f-g(S) containing a
    1; and to be 0 if there is no such
     > place.
     >
     > Suppose I construct a collection of sequences S.i, each of length
    1,000,000,000, by repeated
     > sampling from Distr(X). Suppose there are 100,000,000 sequences I
    construct.
     >
     > I can now construct the average of Min-1(S) over all the
    1,000,000,000sequences S.i.
     >
     > All these things are mathematically well-defined.
     >
     > Now, suppose I have deterministic software, S. Let f(i) be the
    output of S on input i. Let g(i) be
     > what the specification of S says should be output by S on input
    i. Corr-f-g is the correctness
     > function of S, and Mean(Min-1(S)) will likely be very close to
    the mean time/number-of-demands to
     > failure of S if you believe the Laws of Large Numbers.
     >
     > I have no idea why you want to suggest that all this is
    nonsensical and/or wrong. It is obviously
     > quite legitimate well-defined mathematics.
     >
     > PBL
     >
     > Prof. Peter Bernard Ladkin, Faculty of Technology, University of
    Bielefeld, 33594 Bielefeld, Germany
     > Je suis Charlie
     > Tel+msg +49 (0)521 880 7319  www.rvs.uni-bielefeld.de<http://www.rvs.uni-bielefeld.de/>
    <http://www.rvs.uni-bielefeld.de><http://www.rvs.uni-bielefeld.de/>
     >
     >
     >
     >
     > _______________________________________________
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    --
    David Haworth B.Sc.(Hons.), OS Kernel Developer       david.haworth at elektrobit.com<mailto:david.haworth at elektrobit.com> <mailto:david.haworth at elektrobit.com><mailto:david.haworth at elektrobit.com>
    Tel: +49 9131 7701-6154 <tel:%2B49%209131%207701-6154><tel:%2B49%209131%207701-6154>     Fax:
    -6333                  Keys: keyserver.pgp.com<http://keyserver.pgp.com>
    <http://keyserver.pgp.com><http://keyserver.pgp.com/>
    Elektrobit Automotive GmbH           Am Wolfsmantel 46, 91058
    Erlangen, Germany
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    Fürth HRB 4886

    Disclaimer: my opinion, not necessarily that of my employer.

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Bev Littlewood
Professor of Software Engineering
Centre for Software Reliability
City University London EC1V 0HB

Phone: +44 (0)20 7040 8420  Fax: +44 (0)20 7040 8585

Email: b.littlewood at csr.city.ac.uk<mailto:b.littlewood at csr.city.ac.uk>

http://www.csr.city.ac.uk/
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