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Predict software defects training

  • Predict software defects training

 Defect Prediction Training

Predict software defects and technical debt early

Predict defect density and shift to the left

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Traditionally, software teams wait until testing to measure or track defects—often when it’s too late to prevent schedule slips or performance issues. Requs AI Predict changes that. By applying machine learning to the world’s largest database of software defects, it predicts defect density, escaped defects and identifies risks before code is even written. This “shift-left” approach to predict defect density enables teams to proactively manage release stability, performance, and safety. 
Other models are reactive
  • Other classes show models used very late in development

    These aren't much better than just trending the failures in a spreadsheet

  • Other models require defect discovery data

    By the time you have this data, the project can already be late due to resource misallocation

Our models are proactive
  • Learn to use state-of-the-art predictive models

    we learn about state-of-the-art predictive models built from decades of benchmarking defects

  • No need for failure data

    Just answer some questions about your software and how it's developed

Learn how to predict software defects before coding

Made for agile development

Software Test Engineers

Predict defects in advance of testing and be better prepared.

Software Management

Predict defect density and risk level. Identify a risky project while there is still time to change course. Identify resources needed to avoid technical debt.

RAM Engineers/ Site Reliability

These are the first 2 modules needed for predicting failure rates, MTBF, availability, and reliability.

The software defect prediction class outline

  • 1 Assess

    First, the risk of the software program is assessed by predicting a normalized measure of defects – defect density

  • 2 Normalize

    Then the defect density is multiplied by an effective size that’s derived from the story points/people effort predicted for the version

  • 3 Predict arrival time

    Then the defect arrival times are forecasted based on the expected number of installed sites.

  • 4 Improve confidence

    The more questions you answer (accurately) the better the confidence in the prediction

The only software defect prediction class built on real data

Predict software risks early

VIRTUAL SELF GUIDED TRAINING
$ 750
  • VIRTUAL SELF - GUIDED
  • Learn about the world's largest benchmarking study of software defects
  • 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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Predict software defects and when they will be discovered

VIRTUAL SELF GUIDED TRAINING
$ 750
  • VIRTUAL SELF - GUIDED
  • Recommended Prerequisite - predict software risks early
  • Predict the scope/size
  • Predict total testing and operational defects
  • Predict software defect discovery rate
  • Predict technical debt pile up
  • Predict warranty and staffing effort
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