Surviving software delivery in 2025

Miscommunication across teams and stakeholders

Lack of measurability and release confidence

Growing complexity and uncertainty

Declining productivity and reliance on manual work

Clear specifications and requirements help break down silos and promote collaboration, minimizing technical debt and uncertainty. Visual models provide a shared understanding and traceability, this paves the way for AI integration and automation.

Continuously aligning and refining requirements moves quality to the left, preventing bugs and reducing rework. By using clear requirements to generate tests, data, and environments, you can enhance outer loop quality and productivity.

Inner and outer loops continuously require fresh data, but enterprises cannot afford the risks of provisioning sensitive information. Inaccurate or unavailable test data remains one of the major roadblocks to productivity in software delivery.

Generating tests, data and environments from requirements builds traceability between inner and outer loops, while removing productivity blockers. Measurable tests target requirements and system changes, while visualising and refining requirements further avoids bugs and rework.