DevOps.com

  • Latest
    • Articles
    • Features
    • Most Read
    • News
    • News Releases
  • Topics
    • AI
    • Continuous Delivery
    • Continuous Testing
    • Cloud
    • Culture
    • DataOps
    • DevSecOps
    • Enterprise DevOps
    • Leadership Suite
    • DevOps Practice
    • ROELBOB
    • DevOps Toolbox
    • IT as Code
  • Videos/Podcasts
    • Techstrong.tv Podcast
    • Techstrong.tv Video Podcast
    • Techstrong.tv - Twitch
    • DevOps Unbound
  • Webinars
    • Upcoming
    • On-Demand Webinars
  • Library
  • Events
    • Upcoming Events
    • On-Demand Events
  • Sponsored Content
  • Related Sites
    • Techstrong Group
    • Container Journal
    • Security Boulevard
    • Techstrong Research
    • DevOps Chat
    • DevOps Dozen
    • DevOps TV
    • Techstrong TV
    • Techstrong.tv Podcast
    • Techstrong.tv Video Podcast
    • Techstrong.tv - Twitch
  • Media Kit
  • About
  • Sponsor
  • AI
  • Cloud
  • Continuous Delivery
  • Continuous Testing
  • DataOps
  • DevSecOps
  • DevOps Onramp
  • Platform Engineering
  • Low-Code/No-Code
  • IT as Code
  • More
    • Application Performance Management/Monitoring
    • Culture
    • Enterprise DevOps
    • ROELBOB

Home » Blogs » DevOps Practice » 5 Ways Traceability Is Changing to Bolster the Remote Workforce

5 Ways Traceability Is Changing to Bolster the Remote Workforce

Avatar photoBy: Josh Turpen on June 24, 2020 2 Comments

Traceability has always been a useful tool in the development process, but it has become especially important since the COVID-19 outbreak and the increased remote workforce. 

Recent Posts By Josh Turpen
  • Future-Proof Your Product Development Life Cycle
  • How to Solve 3 Significant Development Challenges
  • 3 Ways Traceability Boosts Decision-Making, Accountability
Avatar photo More from Josh Turpen
Related Posts
  • 5 Ways Traceability Is Changing to Bolster the Remote Workforce
  • 3 Reasons Why Traceability Should Be a DevOps Priority
  • Retaining Talent as the Developer Role Evolves
    Related Categories
  • Blogs
  • DevOps Practice
    Related Topics
  • developers
  • development process
  • development tools
  • Remote work
  • software development
  • traceability
Show more
Show less

Where developers and engineers were once working side-by-side, with the ability to discuss their process and keep their team informed, they are now navigating a remote collaboration landscape. According to a 2017 study done by Stack Overflow, there is a correlation for developers between remote work and job satisfaction, and the highest job satisfaction ratings are seen from developers who work remote full time. As technology has grown to make this process easier, remote working is expected to become a norm. 

TechStrong Con 2023Sponsorships Available

Advanced traceability has the potential to hold teams together by allowing increased visibility into each move throughout an entire project. Without traceability, it would be nearly impossible to keep remote teams aligned and on schedule.

Product development tools have continuously been forced to evolve to keep up with the multi-dimensional nature of requirement, test and risk management. For these processes to be successful, all related variables must work together continuously, at scale, and across teams. 

We’ve only just started to see how traceability tools can use updated capabilities to streamline the product development process, but we know enough to discuss two things: what’s happening now and what the future may hold.

Traditionally, traceability could be compared to a map. While not limited to a single view, maps exist to help you navigate your way to a destination. Similarly, traceability leads product developers through every step of their processes, eventually helping them reach their goal. If your map was constantly changing you’d never be able to figure out where you were going, but what if people ahead of you could update it as they went along? This would keep you in the loop of the upcoming twists and turns, and no one would feel blindsided. Traceability makes it easy to share similar production changes with your entire team, all at once.

In the traceability process, links are built automatically which lets major decision points, reviews and approvals be captured in final documents and reports. This allows for faster and more informed decision making and these live references can exist across versions. 

With the switch to remote work across the globe, and no immediate end in sight, developers don’t have the option of working side-by-side with their colleagues. Because of this, it is pertinent that they are able to streamline their work in every way possible, and increased traceability is expected to be a pillar of that transition. 

At the end of the day, connecting the dots is all about making sense of everyone’s decisions. Why did they follow that process, and what factors led them to make the choices they made? 

In the early days of traceability there wasn’t always room to include every piece of information that you might find relevant down the line. Legacy tools such as the act of manual reporting through Word documents left much to be desired. Today, that’s becoming less of an issue, as developers are allowed more meaningful accountability and insight into interconnections as they happen.

As we look ahead, we can expect to see these capabilities grow in five different ways.

Less Manual Effort

Updating your traceability reports with as little manual effort as possible will be essential to a streamlined, remote workforce. As traceability becomes more advanced, the work to create and maintain it should not become more difficult. 

More Nuance Captured, Related and Parsed for Meaning

Improvements in software will make data gathering more precise, and increase the number of items a team can consider relevant, traceable information. This will take additional workloads off of the developers as more items are automatically traced and easily accessible.

More Attributes Can Define and Predict a Project’s Success 

If you have a more data-rich, detailed record of activities, it is possible to understand the past with more context and less reliance on costly manual documentation or memory. 

Dispersed Systems Holding Relevant Information Will Start to Feel Closer and More Interconnected

Through more dense integration and aligned processes, systems feel more controlled and connected, giving users a more seamless experience.

Expansion of Communication and Review Capabilities for Stakeholders Who May Be Impacted by Changes

The availability of a full audit trail of participation will make a big difference in the ease of the review process. The ability to easily see who is impacted by changes will allow teams to proactively manage the effects of said changes.

In response to the COVID-19 pandemic, and the number of companies who are maintaining their remote work policies, we can expect to see more innovations related to product development workflows. These innovations will enable easier remote collaboration between colleagues and across teams, overall streamlining the product development process.

Filed Under: Blogs, DevOps Practice Tagged With: developers, development process, development tools, Remote work, software development, traceability

« WWDC 2020
Code Quality Doesn’t Have to Be Like the Weather »

Techstrong TV – Live

Click full-screen to enable volume control
Watch latest episodes and shows

Upcoming Webinars

Evolution of Transactional Databases
Monday, January 30, 2023 - 3:00 pm EST
Moving Beyond SBOMs to Secure the Software Supply Chain
Tuesday, January 31, 2023 - 11:00 am EST
Achieving Complete Visibility in IT Operations, Analytics, and Security
Wednesday, February 1, 2023 - 11:00 am EST

Sponsored Content

The Google Cloud DevOps Awards: Apply Now!

January 10, 2023 | Brenna Washington

Codenotary Extends Dynamic SBOM Reach to Serverless Computing Platforms

December 9, 2022 | Mike Vizard

Why a Low-Code Platform Should Have Pro-Code Capabilities

March 24, 2021 | Andrew Manby

AWS Well-Architected Framework Elevates Agility

December 17, 2020 | JT Giri

Practical Approaches to Long-Term Cloud-Native Security

December 5, 2019 | Chris Tozzi

Latest from DevOps.com

Stream Big, Think Bigger: Analyze Streaming Data at Scale
January 27, 2023 | Julia Brouillette
What’s Ahead for the Future of Data Streaming?
January 27, 2023 | Danica Fine
The Strategic Product Backlog: Lead, Follow, Watch and Explore
January 26, 2023 | Chad Sands
Atlassian Extends Automation Framework’s Reach
January 26, 2023 | Mike Vizard
Software Supply Chain Security Debt is Increasing: Here’s How To Pay It Off
January 26, 2023 | Bill Doerrfeld

TSTV Podcast

On-Demand Webinars

DevOps.com Webinar ReplaysDevOps.com Webinar Replays

GET THE TOP STORIES OF THE WEEK

Most Read on DevOps.com

What DevOps Needs to Know About ChatGPT
January 24, 2023 | John Willis
Microsoft Outage Outrage: Was it BGP or DNS?
January 25, 2023 | Richi Jennings
Five Great DevOps Job Opportunities
January 23, 2023 | Mike Vizard
Optimizing Cloud Costs for DevOps With AI-Assisted Orchestra...
January 24, 2023 | Marc Hornbeek
A DevSecOps Process for Node.js Projects
January 23, 2023 | Gilad David Maayan
  • Home
  • About DevOps.com
  • Meet our Authors
  • Write for DevOps.com
  • Media Kit
  • Sponsor Info
  • Copyright
  • TOS
  • Privacy Policy

Powered by Techstrong Group, Inc.

© 2023 ·Techstrong Group, Inc.All rights reserved.