Pipeline Agnostic Audit Log
Est Reading Time: 3 min
Jul 15, 2020
Why is traceability within your pipeline important? Why do specifications such as DO178C, ISO 26262, and IEC61508 place such a weight on traceability? Traceability keeps everyone on the same page. Requirements help teams that interface with your team's system understand what to expect from it without needing to dig into the codebase. Tracing code to requirements makes it easier to find what pieces of the system impact a specification, enabling bidirectional change management when a piece of code is modified, or a spec is changed. This traceability keeps requirements and code synchronized. Tracing requirements and code to tests allow the team to see what validation has been done on a given component and correlates what tests are needed to meet the specifications shared with other teams.
By having traceability between these operations, the impact of changes can be communicated effectively internally and externally, identifying potential issues more quickly and reducing the project's change failure rate.
Requirements should not be developed in a vacuum. Specifications serve as a definition of functionality, informing other subsystems what they can rely on your team's system to do and how they should interface with it. Just like with agile development of software, requirements should be iterated on with change notes released to teams dependent on your system in real-time. These requirements should be coordinated with other teams and revised throughout development as new capabilities and limitations are identified. Attempting to define all the requirements up front, waiting for development teams to work through attempting to implement them, and then rinsing and repeating builds silos within teams, resulting in increases in time to deployment, change failure rates, and mean time to resolution. These issues are magnified the longer each cycle is and with each new system that relies on yours.
To eliminate silos, it's best to start prototyping as soon as possible and to build tests that verify identified requirements are met in parallel. Creating prototypes allows the team to identify limitations and new technologies that might be beneficial for accomplishing a requirement while having tests that can be tweaked as the requirements are iterated. When taking this approach to requirement management, each action must be logged and linked so that release notes can be aggregated and communicated to other teams who interface with your system.
Most development pipelines are made up of tens, if not hundreds, of tools and systems that manage everything from specifications to production deployment. Many tools have some traceability capability built-in such as JIRA with smart commits and IBM DOORS with links. These solutions provide a minimum level of traceability but have become insufficient in tracing ideation to shipping a minimally viable solution and the iterations that follow. The solutions also limit their interfaces to a select group of tools that you may not want to be locked into, and configuration breaks down the moment you want to change or add a tool to your ecosystem.
To overcome these challenges, you'll want an audit chain where every tool can document changes. This log can then be utilized to link related changes and be monitored for unexpected modifications to secure your pipeline. Having a decentralized chain lets you define conventions that can be followed to automate the linking of documents, code, tests, and modifications across your entire pipeline. It allows for adding new tools and removing old ones without losing information about your systems and products. Lastly, it enables automation of changelogs that summarize updates that others need to be made aware of.
If you'd like early access to our distributed DevOps platform Nunicorn, which logs modifications to specifications, code, and tests from your DevOps pipeline, links the changes and generates release notes on them, contact us to sign up for the alpha program.
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