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The document that you link to (that you wrote) seems very good. On the post here that I comment on here I don't quite agree with your final point.

Let me give an example. Imagine a T-SQL or SQL system. In doesn't really matter if it is that or a Perl or Python program. There are equivalences in data structures and associated commands. In this system there is a requirement to perform complex statistics. The requirements of the system are not laid out from the beginning. So what we have is a set of interrelated statistic related calculations performed. Over time there are new datasets, different types of datasets, variation on the statistical methods, transformations and adjustments on the data and also variations in how the data is presented to the user of the system. Non of this is known from the onset by the developer. The developer is forced (rightly or wrongly) to follow an agile approach. If I was to develop such a system then would I want to use the SQL-92 standard or the most modern standard for SQL. Given the list that you link to I would argue that the SQL-92 standards would be better. More than that, it may be essential. Therefore an agile team should perhaps enforce the SQL-92 standards.

Now imagine that the system was developed using Perl and not SQL, which it could be using map functions instead of SELECT etc. The same would apply. Therefore there could be restrictions put on code to facilitate Agile development. Am I right?

In reply to Re^5: Have SQL standards gone too far? by betmatt
in thread [OT] Reflecting on SQL. Meditating on Perl. Do languages meet requirements of Agile? by betmatt

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