ALTA: Accelerated Life Testing Data Analysis Software Tool
Still the only commercial software for accelerated life data 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!
ALTA Features Summary
Compare Standard vs. PRO
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.
RS 402: Introduction to Accelerated Life Testing
RS 521: Advanced Accelerated Life Testing Analysis
Step-by-Step Training Guide (*.pdf)
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.


