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What is C-STAT?
Static analysis serves as a crucial method for uncovering potential issues within your code by evaluating it directly at the source code level. C-STAT provides an impressive array of nearly 700 distinct checks, many of which align with the standards set forth in MISRA C:2012, MISRA C++:2008, and MISRA C:2004, alongside over 250 checks that address vulnerabilities defined by CWE. In addition to this, it evaluates compliance with the CERT C coding standard, emphasizing safe coding practices. C-STAT functions quickly and generates thorough and detailed error reports, which significantly aid in troubleshooting efforts. There’s no need to worry about intricate tool configurations or the complexities of language support and build system issues. Fully integrated into the IAR Embedded Workbench IDE, C-STAT allows for seamless maintenance of code quality throughout your development activities. This tool is designed to work with a broad spectrum of IAR Embedded Workbench products. By implementing static analysis, not only can you identify potential coding flaws, but it also supports adherence to recognized industry coding standards, thereby fostering improved software reliability and maintainability. Consequently, using C-STAT enables developers to focus more on innovation while ensuring that their code remains robust and compliant.
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In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.
Integrations Supported
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
C
C++
Integrations Supported
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
C
C++
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
IAR Systems
Date Founded
1983
Company Location
Sweden
Company Website
www.iar.com/products/c-stat/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/codeguru/
Categories and Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management