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Five suggestions to start streamlining enterprise software delivery’s tracability

There is no getting around the fact that traceability in the delivery of corporate software will always be difficult. After all, it’s a complicated adaptive system made up of a vast, constantly changing web of individuals, groups, teams, and procedures.

But that doesn’t mean it’s impossible, and there are some things your organization can do to make the process easier. One way to improve traceability is to establish a clear and concise set of requirements for every software project from the outset. This will give everyone involved a better understanding of what needs to be accomplished, and make it easier to track progress along the way.

It’s also important to have a good system in place for tracking changes to the codebase. This can be as simple as using a version control system like Git, or something more sophisticated like a tool that allows you to see who made what changes and when.

Finally, it’s worth considering investing in a tool that can help automate the process of traceability. There are a number of different options out there, and the right one for your organization will depend on your specific needs.

No matter what approach you take, though, remember that traceability is an important part of delivering software successfully. By taking the time to establish good practices from the start, you can make the process much easier and help ensure that your projects are successful. You can always get help from professionals, like Sap s4 hana partner companies.

 

1. Avoid being confused by definitions

Traceability in software delivery is defined differently by different people. To concentrate your efforts on the unique demands of your consumers, it can be beneficial to agree on a single, broad description.

 

When we discuss traceability with our customers, we mean the ability to track all of the work that goes into creating and maintaining a software release (across all versions and iterations), from the point at which it is first conceived to the point at which it is put into production, and all the way back through the feedback loop with the customer. And when we say “all work,” we don’t only mean features and specific sorts of defects discovered during the development and testing phases. We also mean risk items discovered during scans, production problems, and technical debt.

 

You may therefore obtain the most recent information you require at the appropriate time, regardless of who you are, where you are, or what you’re looking for.

 

2. Determine your sole source of truth.

You want one source of truth, not three different accounts of what has happened or is happening. However, in large enterprises with many technologies and data points in use, that frequently happens.

 

You can prevent people from logging in and out of different systems to see what’s happening by linking your tools and automatically moving data between them in real-time (and save them the soul-crushing pain of duplicate entry).

 

All teams can access the same data in their preferred tool (Jira, Planview, Micro Focus, etc.), speeding up the process of building reports and checking status, cutting down on the number of meetings that aren’t necessary between teams, departments, or businesses, and raising quality by lowering human error.

 

3. Keep things easy

As we discussed in tip one, the ultimate purpose of traceability is to give your users as simple access to a single end-to-end source of truth as possible. You can create a self-service environment that enables users to conduct their own trend analysis and get to the crux of their task through advanced tool settings. If the process is too onerous or interferes with their day job, they will find a method to get around it. So make it as simple as possible by using only a few pointers and clicks. Since it’s not thought necessary “to get the work done,” adding “non-value” extra processes to obtain traceability is a big disincentive and might result in gaps in the data being delivered.

 

4. Join every piece

When it comes to integration, more is more, especially when you have easy control over the information flow and who receives it. You can gain more information to help you make decisions more quickly and effectively the more data that is moving across the teams in the software delivery toolchain. It is simpler to translate information between other departments or job responsibilities when there is a straightforward mechanism to extract and model that data, independent of the discipline or system. This encourages stronger support, engagement, and buy-in.

 

5. Make compliance automatic

As we work to continually improve market response, agility is more important than ever. However, agility also needs to be responsible and in compliance for individuals who work in highly regulated areas. Although the phrase “responsible agility” may seem contradictory, it is possible. To relieve your teams of certain compliance report-related tasks, such as change management tickets, find ways to automate these. This can improve reaction times, enhance morale/engagement, and eliminate friction for a win on both a technical and cultural level.