Learn how to manage cost, time, features and technical debt

Before the project is late or technical debt piles up

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In the real world of software development, a perfect, zero-defect product is often an unattainable ideal. Teams must make strategic choices about where to allocate their resources. This often involves balancing the desire for quality with the need to deliver new features quickly. The challenge is knowing which development and testing methods will provide the greatest return on investment (ROI) in defect reduction without negatively impacting other critical metrics.  Learn how to manage cost, time, features and technical debt.

This training class solves this by providing data-driven insights. It analyzes an organization’s specific development factors and compares them against industry benchmarks. You will learn how to identify:

  1. Overkill: Areas where teams are spending too much time or money for minimal defect reduction. For example, a team might be performing extensive manual regression testing when a more efficient, automated approach would yield better results or they might have overly burdensome processes.

  2. Underutilization: Areas where teams could significantly reduce defects by investing more effort. This could be anything from identifying edge cases early to adopting a specific static analysis tool.

  3. Alternative scenarios:  Learn how to identify the fewest changes that result in the biggest ROI with least cost

  4. Learn how to adjust variables like cadence (release frequency), story points per cycle (team velocity), and test effort, users can see the resulting impact on their technical debt and other key metrics.

Manage cost, time, features and technical debt

This training class consists of two modules

Key features

  • Built from world's largest software defect benchmarking

    More than 600 factors measured against the actual outcome of a project - on time delivery, technical debt, customer satisfaction. Predict the risk level with AI from actual historical data from mission and safety critical systems.

  • Requs AI Optima Users

    Students do not need to have Requs AI Optima to take this class. But students who do have the software will learn how to use it more efficiently.

  • Includes benchmarking study

    The class includes one copy of the "Cold Hard Truth About Reliable Software"

Predict software risk early

Virtual Self Guided
$ 750
  • Learn about the benchmarking study and factors measures
  • Learn which software development factors matter the most and which factors are highly overrated
  • Learn the sensitivity of each of the factors and how to objectively measure them
  • Learn how to improve the confidence of the risk assessment when thing are in flux or you don't have all fo the information.
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Manage cost, time, features and technical debt

Virtual Self Guided
$ 750
  • Predict program risk early class is a prerequisite
  • Identify overkilled factors
  • Identify gaps with highest ROI
  • Learn how to adjust variables like cadence (release frequency), story points per cycle (team velocity), and test effort, users can see the resulting impact on their technical debt and other key metrics
  • Identify cost effective alternative scenarios
Purchase now
See terms and definitions
Software managers now have the facts to support good decision making to manage cost, time, features and technical debt

Software Management

You’ve known about wasteful practices for a while.  Now you have the facts to support lightening up on the wasteful tasks so you have time and $ for the core tasks like fault tolerant design, fault injection testing and move to to left defect reduction.