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Description
In the realm of ensuring software quality, reliability, and security amid complex code bases, the conventional methods of debugging and testing are increasingly proving inadequate. Automated solutions like static source code analyzers excel in identifying defects that could lead to issues such as buffer overflows, resource leaks, and various other security vulnerabilities that often escape detection by standard compilers during regular builds, run-time tests, or typical operational conditions. These defects typically go unnoticed, underscoring the limitations of traditional methods. Unlike other standalone source code analyzers, DoubleCheck stands out as an integrated static analysis tool that is woven into the Green Hills C/C++ compiler. It employs precise and efficient analysis algorithms that have been refined and validated through over three decades of experience in developing embedded tools. By using DoubleCheck, developers can seamlessly conduct compilation alongside defect analysis in a single pass, streamlining their workflow and enhancing overall code integrity. This integrated approach not only saves time but also significantly improves the identification of potential issues within code.
Description
In response to the stringent quality requirements set by the automotive sector, semiconductor manufacturers are increasingly adopting Part Average Testing (PAT) to bolster the reliability of their products. This method focuses on identifying and eliminating "outlier" components that may pass conventional testing yet display unusual traits, thereby mitigating long-term quality and reliability concerns. By performing statistical analyses on a range of devices and modifying the pass/fail thresholds, PAT enables the early detection of these problematic parts, ensuring that only the highest quality components are included in production shipments. While Part Average Testing (PAT), as outlined in the Automotive Electronics Council AEC-Q001-Rev C specifications, primarily addresses DPM techniques for normal (Gaussian) distributions, many real-world scenarios involve distributions that do not conform to this norm. Consequently, it is essential to employ tailored PAT outlier detection strategies to prevent significant yield losses or erroneous identifications of outliers. To meet these challenges, PAT-Man emerges as a robust solution for implementing effective Part Average Testing (PAT). This innovative tool not only enhances the reliability of semiconductor components but also streamlines the testing process, ultimately benefiting manufacturers and consumers alike.
API Access
Has API
API Access
Has API
Integrations
C
C++
MULTI IDE
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Green Hills Software
Founded
1982
Country
United States
Website
www.ghs.com/products/doublecheck.html
Vendor Details
Company Name
Galaxy
Country
United States
Website
www.galaxysemi.com/products/pat-man
Product Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering