AI Powered Software Project Risk Identification

Predict success or failure before spending a fortune

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Requs AI Predict Risk Identification is an AI-powered software project risk identification tool that predicts risks before any code is written. It benchmarks a project’s development factors against a large database of past software projects to identify potential risks to the program, schedule, and technical debt.

Software Project Risk Identification

AI-Powered Software Project Risk Identification Key Features  

The AI-powered software risk identification tool provides several key predictions to help teams manage risk early and proactively:

  • Risk Identification: It provides a percentile rank for a project’s software risk, helping to visualize its risk profile relative to other projects.

  • Project Outcome: It predicts the likelihood of a project succeeding, failing, or languishing in mediocrity. This is a high-level forecast based on the analyzed factors.

  • Delivery and Technical Debt: It predicts explicitly the probability of late delivery, the estimated lateness as a percentage of the original schedule, and the amount of technical debt that will accumulate and potentially impact future projects.

Using Requs AI Predict Risk Identification, project managers can make data-driven decisions about allocating resources to reduce risks and ensure project success.

  • Early software project risk identification with confidence

    The more questions you answer, the greater the confidence in the risk level prediction

  • 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.

  • Licensing

    Dedicated or floating licenses. Yearly subscriptions or perpetual plans. Cloud or Desktop solution.

  • Tiered editions

    Feature tiers allow you to purchase only the features you need. You can purchase the risk assessment capabilities independently of other Requs AI Predict features.

  • Integrated suite

    Requs AI Predict allows you assess risk early and predict defect density. Requs AI Optima allows you to quickly determine the key factors that are leading to success or failure, overkilled processes, gaps. Requs Edge Case Prediction shows you where the hidden defects lie. Requs Software FMEA connects the dots between the edge cases and mission and safety hazards.

How does Requs AI Risk Identification work?

Requs AI Predict Risk Assessment works in a few simple steps to predict defect density and escaped defects with AI:

  1. You provide data: You answer a series of questions about your software’s design, organization, testing practices, and any known risks.

  2. The AI analyzes it: The machine learning model takes your answers and matches your specific development factors against a massive database of past projects. 

  3. The AI-Powered software project risk identification model predicts a percentile range: By finding these matches, the model predicts the early software risk identification – one of 7 risk clusters ranging from distressed to world class. The percentile rank is a measure of how many other projects have fewer normalized defects than your program.  These clusters predict the technical debt, the probability of project success, and the margin of error of a late delivery. 

  4. You interactively pinpoint the drivers of software risk identification.  The key driver may be a key practice that you are missing.  Or you may be wasting time and money overkilling some practices.  You can interactively change your inputs and see the results using Requs AI Predict Risk Assessment, or you can accelerate the tradeoffs analysis with Requs AI Optima, which allows you to see the sensitivity analysis instantly. 

AI-Powered software risk identification tool empowers the team to see overlooked project risks hiding in plain site

Software Test & QA

Enter in the planned test strategies and activities. Identify how risky the project is. Then combine the Requs AI Risk Assessment with the Requs AI Optima to see how you can tradeoff various test methods for fault injection without affecting the on time delivery.

 

Software Management

Enter in the planned practices, techniques, tools, resources and then determine one of 7 software risk identification levels.  Interactively analyze alternatives.    Requs AI Optima speeds up the analysis of other options by pinpointing the drivers of the risk level.  Identify overkilled processes that steal resources from risk mitigation.

Software Availability

AI-powered software project risk identification is the first step to predicting defects, failures, availability and site reliability in Requs AI Predict Site Reliability Dashboard.

Software & Systems Safety

Enter in the planned safety requirements, design, code, and test strategies and activities. Identify the early software risk identification.  Evaluate how safety rigor reduces the early software risk identification.

AI-Powered software project risk identification tool screenshots

AI-powered software project risk identification