This is the fourth installment of this series about managing backward compatibility in software development. Here I talk about what makes an XML Schema backward incompatible.

I specifically address W3C XML Schemas but general principles applies regardless of the schema language you use.

But first, why bother about XML Schemas compatiblility?

Actually, in enterprise applications, XML is often used either to specify configuration files or interchange formats. With the rise of WebServices and RESTFull applications on the Internet there is also an increase in the use of XML.

Thus, making sure that existing configuration files still work with your new software or, more importantly,  that other applications can still communicate with yours can really make a difference.

So, what makes a schema incompatible?

• Changing an element or attribute type to a more restricted type (like adding constraints on a xs:string)
• Changing the order of a sequence in a complex element
• Removing or renaming an element or attribute from a complex type
• Adding a mandatory element or attribute to a complex type without providing a default

Removing complex or simple types will also make it incompatible if:

• Your schema is included or imported by other schemas or
• You do not replace them by compatible anonymous types (compatible meaning equivalent or less strict, e.g. if one defines a simple type JavaClass, which is a xs:string with a constraint, and replaces it with xs:string).

Then, how to preserve backward compatibility?

If some elements of the schema are becoming obsolete, do not remove them. Instead, mark them as deprecated in the schema documentation and, if applicable, remove their mapping to the object model (that way you will not have to maintain the code equivalent of the deprecated elements).

The best strategy I came across so far is using namespacing: If a given schema must be refactored, create a new one, changing its namespace (a good practice is to include the major version of the schema in the namespace).

You then have two options:

1. provide an XSL stylesheet that enables the migration of XML documents from the old schema the new one
2. provide support code to be able to read both document structures

Of course, the second solution is the most desirable from the operational point of view (and the first one is not always applicable). However, the trade-off is that it is more expensive from the development point of view. Once again, choosing between who is going to do the work (the guy who develops or the guy who installs your application) is a matter of project management.

This is the third post about software compatibility, the previous ones were talking about project management and bugs and this one deals with database schemas compatibility (I will deal with stored procedures in the chapters about code compatibility).

First of all, what does backward compatibility means when talking about the database?

1. Being able to retain data stored in one schema into a new one.
2. Preserving compatibility with external systems (like report engines) that may be accessing the database directly.

Point #1 is achieved through migration tools that update the database schema, in some cases such tools may be very tricky.

Point #2 is a bigger challenge. Changes that may break the database compatibility are:

1. Removing a table or changing its name.
2. Removing a column, changing its type (including its precision or length) or changing its name.
3. Changing the semantic of a column (e.g. changing the valid values).
4. Adding foreign keys.

In case #1 and #2, if such changes cannot be avoided, a good enough solution is to implement database views that mockup the old tables based on the new ones.

The thing is that for #2 you will need to rename the actual table which will force an update of the foreign keys in other tables and surely more code update than what was initially expected. Leaving an unused column in the table may be a better solution. As usual, this is a trade-off that should be discussed at the project level.

Point #3 is more tricky because it really depends on the change and the usage of the column. Most of the time transforming a “change” into a “remove and add new” will enable to refer to #2. Triggers can then be used to update the old column or it can just be left unused.

Point #4 is a problem when there are scripts that delete entries in a table. If all of a sudden there is a new foreign key that depends on this table then the script will fail, thus breaking the compatibility. I actually have no technical solution for this one. I think that only documentation can be given, but if any of you has an idea please share it with us :)

Nevertheless, one should recall to never do any incompatible change without a good enough reason.

For most software companies the ability to ship new versions of a product that will preserve clients’ data and customizations is a matter of market share. Still, this is often an afterthought and there seems to be little documentation available.

This article is the first of a serie about managing backward compatibility in enterprise applications. This will not be a definitive guide but I will try to spot the common areas where incompatibilities can appear and give guidelines about managing them.

This first post is about the project management side of backward compatibility.

One of the most important thing to remember about backward incompatibility is that it is mostly a matter of process and project management.

In order to find the most accurate way of solving a compatibility issue you need to talk about it because the solution can be driven by technical, business or project considerations. Once a solution is accepted, the reason as to why this as been done that way must be properly advertised (this is of uttermost importance when only documentation is provided) and rolled-out.

As backward compatibility is a project concern it must be:

1. Listed in the project risks list
2. Considered at the project level
3. Optionally considered at the product level (mostly when it has business impacts)

There are three ways to solve backward incompatibilities, they are listed from the most desirable to the one that requires the less developer work:

1. Ensure binary compatibility – Work is done at the development’s level.
2. Provide migration tools – Work is split between development and services but emphasis is put on development.
3. Provide thorough documentation of incompatibilities and ways to overcome them – Work is split between development and dervices but emphasis is put on services
4. Reject or postpone the change – Work is then at the product management level

Like for bugs, backward compatibility cannot be guaranteed at 100%, the best thing a project manager can provide is a good measure of the risk upon it for a given version.

When a new version is released, incompatibilities, those that have not been foreseen or at least documented, must then be treated like any other bug and become part of the maintenance process.

In the following posts I will focus on what can make an application backward incompatible and give some guidelines in order to limit those issues and ensure binary compatibility.

See also Backward Compatibility on Wikipedia.