ALTA: Accelerated Life Testing Data Analysis Software Tool

Still the only commercial software for accelerated life data analysis!

Click to see a picture of the ALTA software interface for accelerated test planning and quantitative accelerated life testing data analysis (ALT Analysis, QALT Analysis)...Click to see a picture of the ALTA software interface for accelerated test planning and quantitative accelerated life testing data analysis (ALT Analysis, QALT Analysis)...ReliaSoft's ALTA software is still the only commercially available software tool designed expressly for quantitative accelerated life testing data analysis using rigorous scientific analysis methods.

Finally, reliability and quality engineers have the power to significantly reduce test times, which can provide faster time to market, lower product development costs, lower warranty costs and other benefits!

Software Features

ALTA provides a comprehensive toolset for accelerated test planning and accelerated life testing data analysis, plots and reporting. The software is available in two versions: ALTA Standard provides the life-stress relationship models required to analyze accelerated test data with 1 or 2 constant stresses. ALTA PRO offers advanced capabilities for analyzing accelerated test data with up to 8 simultaneous stress types where stress is constant or varies with time!

Available Training

ReliaSoft offers two training courses that specifically address the subject of quantitative accelerated life testing data analysis (ALT analysis, QALT analysis) and related techniques. By combining a solid theoretical foundation with practical application examples and hands-on software training, these courses will give you the knowledge and skills you will need to successfully apply these useful methodologies to meet the specific challenges you face.

Applications and Benefits

Some of the potential applications and benefits for using quantitative accelerated life testing data analysis techniques and ReliaSoft's ALTA software tool include the ability to:

  • Understand and quantify the effects of stress (or other factors) on product life.
  • Design accelerated tests that will be the most effective to achieve desired objectives.
  • Significantly reduce the test time required to obtain reliability metrics for a product, which can result in faster time-to-market, lower product development costs and improved designs.