fbpx
1-888-310-4540 (main) / 1-888-707-6150 (support) info@spkaa.com
Select Page

Why an Automated Development Process Benefits Developers

Automated development, rather than just automated builds, offers a more holistic approach to automating the development process including building, testing and deployment. It is the cornerstone of Continuous Integration (CI).

CI uses a model of small incremental changes to the code base, which are incorporated into a rapid build and test environment. This is different from the more traditional concept of applying large changes to the code base where the developer has worked separately from the main code stream for long periods of time.

For it to be effective, the build, test and deployment process needs to be as fully automated as possible. In particular, automated testing is essential as it attempts to control and measure the impact the code changes have on the overall quality of the product.

From a developers point of view, the benefits can be enormous. Previously a developer would take a snapshot of the code base and work to implement the assigned functionality. After a possibly lengthy period, where the main stream code base and the developers code base have diverged, the developer adds the new functionality in one large chunk to the code base. Next comes QA which gives feedback to the developer about the quality of the changes. The developer and QA team then enter into a period of bug chasing and bug fixing.

However with CI and automated development, small changes can be applied to the code stream and then, via the quick and automated build and test processes, be verified and tested. For the developer this means that feedback is continuous during the implementation phase. Without an automated development process this continuous model of adding, building, testing would not be possible. For example without any kind of automated testing (including unit testing) the feedback would rely on a test engineer manually performing tests on the latest build and then reporting back to the developer. However this could take days and is far from being continuous. But with an automated development process the build (and some level of testing) occur automatically and the results published quickly.

A by-product of using CI and automated development is that the tests need to be written before the implementation exists. This in itself is a powerful methodology for ensuring that the implementation is true to the requirements as well as being functionally correct.

Since CI relies on the ability of the automated development process to build and test the source code, it also means that the automated development process is able to deploy the build into test environments. The natural result of this is that the functionality for deploying a build into a production environment already exists and has been thoroughly tried and tested. This makes creating a final, deployable build (along with the relevant install and upgrade processes) easy.

There are a range of different tools available for creating an automated development environment. One such tool is ElectricCommander; its web based interface allows development teams to share a common methodology regardless of their physical location. While its integration with VMware means that it can instantiate Virtual Machines and configure them correctly for the development tasks in hand.

Latest White Papers

The Hybrid-Remote Playbook

The Hybrid-Remote Playbook

Post-pandemic, many companies have shifted to a hybrid or fully remote work environment. Despite many companies having fully remote workers, many still rely on synchronous communication. Loom offers a way for employees to work on their own time, without as many...

Related Resources

Measuring the Impact of AI on Product and Development Teams

Measuring the Impact of AI on Product and Development Teams

Generative AI is transforming the software development industry, enabling teams to develop, secure, and operate software more efficiently. GitLab is no exception. Its AI-powered suite, GitLab Duo, aims to optimize workflows across the entire software delivery...

Streamlining Issue Creation and Transitions in Jira with STM

Streamlining Issue Creation and Transitions in Jira with STM

Jira’s flexibility and ease-of-use make it a go-to platform for project and issue management.  However, repetitive tasks like creating and transitioning issues can become time-consuming for its users.  Fortunately, Redmoon Software has created an ​​Atlassian...

How Model-Based Definition (MBD) Cuts ECOs by 41% and Scrap by 47%

How Model-Based Definition (MBD) Cuts ECOs by 41% and Scrap by 47%

Organizations are increasingly turning to Model-Based Definition (MBD) to revolutionize their engineering and manufacturing processes. By embedding rich, digital annotations directly into 3D models, MBD provides a single source of truth for product definitions. This...