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Software Engineering Intelligence Platform

AI enabled software balances the software iron triangle before it breaks your program

Requs AI Optima balances the software iron triangle: scope (story points), time (program increment length), cost (corrective actions fixed) and defect reduction.

Requs AI Optima software iron triangle optimization
Add-On
Extends Requs AI Predict with schedule, scope, and cost optimization
Iron Triangle
Balances scope, time, and cost against defect reduction
Interactive
Real-time sliders for defect density, effective size, and corrective action time
01 — Authority

Our founder is the global leader in software reliability optimization

Standards Body

IEEE 1633 Leadership

Chair of the 2026 IEEE 1633 working group — the governing standard for software reliability engineering.

Continual lessons learned applied to the world's largest defect density benchmarking study

Decades of Trending Data

While others fail to keep their model factors current with technology - we're on our 8th major revision since 1993.

World's largest database of software failures analyzed by root cause

CDE Taxonomy inventor

From it, we created the Common Defect Enumeration, the primary taxonomy currently adopted and cited across DOW technical frameworks.

02 — Requs Ai Optima

The add-on that turns Requs AI Predict's forecasts into a schedule, scope, and cost plan you can act on.

Requs AI Optima is built as an add-on to Requs AI Predict — it takes the same reliability forecast and runs it forward through the trade-offs every program actually has to make: how much scope to cut, how much schedule to hold, and how much corrective action budget to spend chasing down defects.

Requs AI Optima balances the software iron triangle: scope (story points), time (program increment length), cost (corrective actions fixed) and defect reduction. See how in our whitepaper, Identifying Wasteful Software Development Practices with Predictive AI.

When your team uses Requs AI Optima, they're not guessing at trade-offs — they're seeing the actual predicted effect of each one, updated interactively as inputs change.

Capability
Other "optimization" software
Our solution
Compliant with industry standards
Not tied to a validated reliability model
Built directly on Requs AI Predict's IEEE 1633-compliant forecast
Iron triangle trade-offs
Treats scope, schedule, and cost as separate spreadsheets
Balances scope, time, cost, and defect reduction together, in one model
Interactive what-if analysis
Static reports that are outdated the day they're published
Live sliders for defect density, effective size, and corrective action time
Accuracy
Rough rules of thumb or subjective estimates
Driven by the same data and parameters as Requs AI Predict
Integration with other tools
Standalone
Works directly from a Requs AI Predict forecast — no re-entry of data
software iron triangle optimization interactive analysis

Requs AI Optima's interactive analysis — dragging defect density, effective size, and corrective action time updates predicted escaped defects and the found-versus-fixed breakdown in real time.

Why Requs AI Optima

Built for efficiency and compliance.

01 — INTERACTIVE

What-If Analysis

Drag a slider and see the predicted effect on escaped defects immediately — no re-running a report or waiting on an analyst.

02 — WORKFLOW

Built-in Best Practices

Your software development lifecycle is pre-aligned with industry standards the moment you begin using our tools.

03 — INTEGRATED MULTIFUNCTIONAL TEAM

Collaboration

Supports import/export for multiple team members. "Save as" features provides for an organization wide template.

03 — Requs Ai Optima avoids the popular but ineffective approaches

Gut-feel trade-offs, fixed schedules, and static spreadsheets aren't recommended in the IEEE 1633 2026

§1Gut-feel trade-offs

Scope, schedule, and cost decisions are made by feel, not data

Assumption

An experienced program manager can accurately judge the reliability impact of cutting scope or compressing schedule.

Better approach

Model the predicted effect of each trade-off against the same reliability forecast used to plan the program.

§2Fixed schedule, whatever it takes

The schedule is locked and corrective action cost is an afterthought

Assumption

Holding the schedule fixed and absorbing whatever corrective action cost results is an acceptable trade-off.

Better approach

Balance program increment length against corrective action budget explicitly, before the schedule is locked.

§3Static spreadsheet what-if

Trade-off analysis is a spreadsheet that's outdated the day it's built

Assumption

A one-time spreadsheet analysis is good enough, even as defect density and effective size estimates change.

Better approach

Use an interactive model that updates predicted escaped defects live as inputs change throughout the program.

Get the only tool that optimizes your software iron triangle.

Start with the online demo or a demonstration.