Quickly Identify IT Bottlenecks and Unlock Effective Collaboration

Challenges

  • No data to identify bottlenecks slowing down overall software delivery
  • Inconsistent documentation, code reviews or test coverage
  • Slow cycle times from idea to production
  • Frustration coming from ineffective development processes and guidelines

Benefits

  • Software re-use and collaboration
  • Higher team morale
  • Improved code review and test coverage leading to quality improvements
  • Increased agility, velocity leading to higher customer satisfaction

Overall Engineering Effectiveness

Measuring IT initiatives is hard and time-consuming. Some of the most common pitfalls include looking at the wrong metrics, looking at metrics that are not actionable or metrics that are too difficult to compute. With source{d}, everyone in the IT organization can access and customize engineering health reports, identify IT productivity pain points and their root causes.

Examples of questions you should have the answers to:

  • Is this project likely to ship on time?
  • Where is our development process slowing down?
  • Who are the top performing developers on this project/team?

Examples of metrics you could be tracking:

  • Codebase Growth
  • Cycle Time
  • Throughput
  • Backlog Burn Rate

Code Review Activity

Code review is an essential part of every company quality assurance efforts. Although important, the volume of code reviews and comments can also be overwhelming for large teams. source{d] provides the reports and insights Engineering managers need to remove bottlenecks, encourage knowledge transfer while preserving their teams' agility and velocity.

Examples of questions you should have the answers to:

  • How effectively are we doing code review?
  • Who are the top code reviewers?
  • Are discussions happening?

Examples of metrics you could be tracking:

  • Code Review Engagement
  • Time to First Comment
  • Number of Comments / Reviewers
  • Documentation / Test Coverage

Pull / Merge Request Activity

Engineering managers can learn a lot about individual contributions, development and collaboration patterns by looking at Pull / Merge request activity. With the right metrics at their fingertips, they can better manage team resources and positively impact both the software delivery cycles and quality.

Examples of questions you should have the answers to:

  • How often are we merging code without reviews?
  • How much time we have between developers joining the company until there are significant contributions from them?
  • Which projects are falling behind schedule?

Examples of metrics you could be tracking:

  • Average time to merge
  • Time to merge based on code size
  • Most active repositories
  • Pull request breakdown by topic

How source{d} works for you

Engineers & Researchers

Developers

From data retrieval, language analysis and machine learning on code tools, datasets and models, the source{d} stack can be helpful for many software engineering use cases.

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Engineering Managers

Managers

With a built-in UI and a great user experience, source{d} delivers an enterprise-ready data platform to shift your IT budget from maintenance to innovation.

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Business Leaders

Executives

The source{d} platform allows you to modernize your entire software development life cycle so that your comapny can focus on providing more value to your customers quicker.

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