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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.

What is Amazon CodeGuru?

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. 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.

Media

Media

Integrations Supported

C
C++
IAR Embedded Workbench

Integrations Supported

AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
GitHub
Java
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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

Code Quality

Not specified

Static Code Analysis

Not specified

Categories and Features

AI Code Review

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance

Code Quality

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization

Static Code Analysis

Not specified

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