Requs AI Optima - Manage the Iron Triangle
Master the Trade-offs. Optimize your Software Development.
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. Requs AI Optima is for balancing the Iron Triangle.
Requs AI Optima solves this by providing data-driven insights with our machine learning reliability model. It analyzes an organization’s specific development factors and compares them against industry benchmarks. Requs AI Optima identifies:
Overkill: Areas where teams are spending too much time or money for minimal defect reduction. For example, a team might perform extensive manual regression testing when a more efficient, automated approach would yield better results, or they might have overly burdensome processes.
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.
The interactive mode with sliders is a key feature, as it allows users to visually see the impact of their decisions. By adjusting 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. The interactive mode helps you to balance the iron triangle.
Essentially, Requs AI Optima acts as a strategic advisor, helping teams make smarter decisions and find the optimal balance for their unique project and business goals.
How does Requs AI Optima help balance the Iron Triangle?
Requs AI Optima works in a few simple steps:
Using Requs AI Predict, you provide data: You answer a series of questions about your software’s design, your organization, and your testing practices, as well as any known risks. The ML model predicts a baseline defect density.
Overkill and gap analysis: See the development factors you are overkilling so you can spend more time on value added practices that defects with minimal time and cost. Interactively change the factors and see what it does to defect density.
- Interactively optimize and balance the iron triangle – story points/effort, program increment cadence, defect density, and test effort.
Software Test & QA
See which test methods are adding value compared to others.
Software Management
Identify factors that are reducing defects less than they should, so you can adopt the factors that do. Interactively balance the Iron Triangle and see how you can reduce technical debt with small adjustments to cycle time and story points.
Software Availability
Identify alternatives for a late project availability crisis. Provide value-added insights to software management to ensure that technical debt doesn’t derail the availability requirements.
Software & Systems Safety
Identify the fault preventions, controls and level of rigor development factors that are adding the most value.
Comparison of Iron Triangle Tools
The primary purpose of Requs AI Optima is weed out the unproductive development factors, identify the overlooked development factors that have value and then when defect density is optimized, interactively balance it with productivity factors. The primary value of the SLIM Suite is to identify scenarios for how long, how much and how many people within feasable constraints.
Interactive iron triangle - tradeoffs between cost, schedule, defects and scope
Identify gaps with potential ROI
Identify things that might be overkill
