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In a previous post, I briefly discussed a simple branching strategy for Team Foundation Server (TFS). This was somewhat of a follow-up to another post in which I briefly referenced a great article titled The Importance of Branching Models in SCM. If you haven't read this article, I highly recommend it.
However, while branching is certainly an important aspect of Software Configuration Management (SCM) -- and perhaps one of the most important aspects -- it's certainly not the only one that warrants discussion. In this post, I want to cover some other best practices for SCM as well as the daily build process.
For example, if you are using TFS, you know that each TFS project typically has a source control repository as well as a project team site in SharePoint (a.k.a. the "Project Portal"). You also probably know that all SharePoint document libraries can be configured to support versioning similar to TFS source control, and thus allow you to, for example, view an old version of an installation guide stored on the Project Portal. However, just because you can do this doesn't mean that it is recommended as a best practice.
Note that I'm not saying you should not store any documents on the Project Portal, nor am I saying that you should never enable versioning on document libraries in the Project Portal.
On the contrary, the Project Portal provides a great place to store documents that various project stakeholders need to access from time to time (without going through Visual Studio or TFS Web Access), and I almost always recommend enabling versioning on all document libraries in your SharePoint sites (provided you have plenty of storage on the backend SQL Server, of course).
Enabling versions on document libraries provides the ability to go back and see who changed a document and when (which is sort of like an "audit trail" on a document). While you could use the SharePoint versioning feature to go "back in time" in order to view the state of a document (e.g. an installation guide) for a particular version or build of your solution, this would obviously involve a good deal of considerable effort based on timestamps.
A much easier way of correlating a version of a particular document to a particular build of your solution is to actually store the document in source control within TFS. This allows you to quickly retrieve the document version using a changeset number or, more generally, a build label.
Back in the days of using Visual SourceSafe (VSS) on customer projects, at the beginning of the build process, a label would always be applied to the project in VSS. Since the build label was applied at the top-level project within a branch, it applied to all files in the solution – including the source code, setup files, and automated tests. This ensures that the installation and tests could be repeated for any particular build.
While VSS certainly provided the ability to retrieve a project based on a particular timestamp, it definitely wasn't easy (the only way that I was ever to do it was through the SS command line utility). Thus build labels provided a quick way of getting a snapshot of the code for a particular build.With the concept of changesets in TFS -- and the ability to quickly get the code for a specific changeset -- build labels are obviously not as important as they were in VSS. However, regardless of which particular source control system you are using, build labels provide an easy way to identify and retrieve important builds (such as Beta 1, Beta 2, RC1, and v1.0) or simply specific versions of the solution (e.g. 18.104.22.168).
Applying the build label to the entire solution allows the Development team to obtain all of the source code for a particular build, thereby enabling them to step through the code to debug an issue that may not be reproducible in the latest version of the code.
In addition to the source code, the files supporting the installation of the solution (such as the install scripts and the installation guide – but not the compiled setup packages) should also stored in the source control system. In this way, the changes to the installation can be tracked from one version to another.
Automated tests change as features are added to the solution. Consequently the tests must be matched to a specific build and therefore need to be checked into the source control system (and therefore labeled as part of the correponding build). Automated tests typically include unit tests as well as Build Verification Tests (BVTs).
The build process is a fundamental activity within any software project. In order to ensure success, the build and deployment process needs to conform to a number of basic requirements. If the solution cannot be built directly from its source code then it is not possible to integrate many of the key processes required for successful delivery.
The following sections describe the steps in the build process and who is responsible for each part of the process:
All code included in a build must be checked into source control before the build process is initiated. All checked-in code must compile and it is the responsibility of the developer who checks in the code to ensure that the solution builds and all files that are needed to build the solution are checked in.
The source control must not be left in a broken state at any time. If a build breaks, resolving the problem becomes the highest priority.
You can use the Builds check-in policy for TFS to ensure the solution compiles before a developer is allowed to check-in a changeset.
You can use the Testing Policy check-in policy for TFS to ensure that specific unit tests pass before a developer is allowed to check-in a changeset.
If any of the above conditions cannot be met, the code should not be checked into source control.
The automated build process should:
If an error occurs during the build -- including execution of the unit tests -- the entire process stops. In this event, an email detailing the error should be mailed to the appropriate distribution list. Once the error is fixed, the build can be restarted. Note that the build/revision number should be incremented for the restarted build.
Build Verification Tests (BVTs) are a quick, automated test run on the solution to catch defects in the code. The BVTs should cover the major functionality of the solution but are not meant to be a full regression of all the functionality in the solution.
The time required to run the entire set of BVTs should be on the order of minutes -- not hours. Otherwise the tests become too cumbersome to run on a regular basis. [Note that this guideline obviously depends on the size of your solution and the resources involved. For example, I believe the BVTs used by the Windows team actually run for several hours, due to the size of the code base. However, it is still short enough to repeat on a daily basis.]
BVTs are owned by the Test team in conjunction with the Development team to verify the build has completed successfully and to catch any regressions that are introduced as a result of changes to the solution. BVTs should be launched immediately after the automated build and deployment process. The BVTs must return an error to indicate if they have succeeded or failed. Only after the BVTs have passed should the build be considered ready for additional testing by the Test team.
As noted before, BVTs are owned by Test. The Test team should work closely with Development to keep the BVTs in sync with the changes in the solution. By having the BVTs owned by Test, it ensures that there is a knowledge transfer between Development and Test for any changes to the behavior or architecture of the solution.
In order to successfully deploy the solution, automated tests should be written to survey the environments before and after the application has been deployed. The smoke tests should check that the correct components have been installed, the configuration of the solution has been completed correctly, and that the network connectivity between machines is functioning correctly. The smoke tests must result in a clear pass or fail.
Smoke tests are generally considered to be more exhaustive than BVTs. The key differentiator is that BVTs are intended to identify whether a build is worthy of additional testing. Ideally, a substantial portion of the testing performed by the Test team is automated -- not manual. So whether you refer to your automated tests as BVTs and consider them part of a "smoke test" is really just a matter of semantics.
When a failure is found with the BVTs or automated smoke tests, the Test team should be the first point of contact to ensure that the tests are correct and the failure is valid.
The Release Management team should always lead the deployment of the solution, with Test and Development provided support as necessary.
Note that the Development team owns the DEV environment. Consequently, developers will often resort to “tweaking” the environment in order to get the solution deployed and operational. However, in order for the solution to be deployed to TEST, the configuration changes made in DEV must either automated as part of the installation or thoroughly documented as part of the installation guide.
When problems are discovered with the deployment of the solution, a troubleshooting guide should be created (or updated) to capture the experience learned in resolving problems in the solution. The troubleshooting guide is not meant to be exhaustive in terms of troubleshooting all aspects of the solution; however it should provide a baseline for developing the operational support documents for maintaining the solution in the Production environment.
The troubleshooting guide should capture the process and tools used for investigating the problems with the solution and where to look for logs, events, etc. in the system. It should also capture patterns that have been seen in the solution that point toward a particular fault in the system.
A SharePoint site -- or even just a simple SharePoint list -- provides an excellent alternative to a Troubleshooting Guide document. Think of this site --or list -- as a simple "Knowledge Base" for your solution.