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Executive Summary

This practical guide details how developers’ productivity can be significantly increased by using auto-generated, interactive architecture blueprints.

Learn about:

  • The most time-consuming activities during development activities
  • The common approach of teams for developing complex systems
  • Raising team productivity with visualization of the inner structure of apps

This guide results from an analysis of industry studies observing developers' activities and distills CAST experience helping large IT shop businesses and integrators with thousands of developers to raise ADM / AMS productivity.

Dejan IvanovCAST
Dejan Ivanov

EVP Solution Delivery

Dejan Ivanov oversees the CAST Delivery organization, with consulting resources in Europe, the US and India. Dejan is an experienced consulting and IT delivery leader focused on innovation, pursuing the highest levels of customer satisfaction, building clients’ Centers of Excellence for producing software intelligence and leveraging the insights throughout the organization. In parallel Dejan was leading Consulting Activities for clients in the Telco & Media Sector and was also acting as Innovation Lead. You can contact Dejan directly at d.ivanov@castsoftware.com.

Raising Developer Productivity

A guide summarizing research and field evidence that developers spend much of their time understanding existing code, and explaining that always-current, navigable architecture “blueprints” improve productivity in development and maintenance, especially for complex systems.

Highlight key takeaways from research paper: code comprehension dominates developer time, and interactive system blueprints can raise productivity.

Explain how CAST Imaging supports faster understanding of applications teams “know very little about” via dependency maps and interactive navigation of real architecture.

Contrast manual approaches with software mapping for impact analysis and change planning (minutes instead of hours for certain review activities).

Reference an internal experiment design and outcome: a trained subgroup using CAST Imaging outperformed peers, with an observed productivity difference on the order of several percentage points.

Extend productivity gains to onboarding, collaboration, and reduced time spent reconstructing end-to-end flows and dependencies.