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Related Experiment Video

Updated: Apr 21, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Policy Driven Development: Flexible Policy Insertion for Large Scale Systems.

Barry Demchak¹, Ingolf Krüger¹

¹Computer Science and Engineering Department, University of California, San Diego, La Jolla, USA.

Proceedings. IEEE International Symposium on Policies for Distributed Systems and Networks

|November 11, 2014

Summary

This summary is machine-generated.

Policy Driven Development (PDD) enables runtime policy injection into software workflows, reducing latency and improving adaptation to stakeholder requirements for large-scale systems. This methodology facilitates cost-effective evolution of applications.

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Last Updated: Apr 21, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Area of Science:

Software Engineering
Systems Architecture

Background:

Traditional software development methods struggle with long latencies in large-scale systems, frustrating stakeholders.
Policy decisions embedded directly into workflows at development time contribute to these latencies.
Integrating diverse stakeholder requirements into complex systems presents significant challenges.

Purpose of the Study:

To introduce the Policy Driven Development (PDD) methodology for addressing development latencies.
To enable flexible, runtime injection of decision points and policy composition.
To integrate requirements from multiple, potentially unaware stakeholder groups.

Main Methods:

Developed and applied the Policy Driven Development (PDD) methodology.
Designed and implemented a production cyberinfrastructure utilizing PDD.
Demonstrated runtime policy and workflow injection capabilities.

Main Results:

Successfully reduced development latencies between requirement articulation and system deployment.
Enabled rapid implementation of stakeholder requirements, including unforeseen features.
Showcased the integration of policy composition from multiple stakeholder groups.

Conclusions:

Policy Driven Development (PDD) effectively addresses development latencies in large-scale software systems.
PDD allows for flexible adaptation to evolving stakeholder requirements at runtime.
The methodology offers a cost-effective path for long-term application evolution.