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Deliver safe and secure embedded software with automated defect detection


In order to reduce the time-to-market for IoT-based applications, OEMs need to ensure shorter release cycles for embedded software. Manufacturers have to comply with strict industry standards, emphasizing the importance of quality assurance in software development. However, debugging multi-threaded, multi-core software is time consuming due to suboptimal, manual quality control procedures. These must be streamlined and automated to improve code quality and boost innovation.


, leveraging a web-based integrated code review platform. It increases collaboration between development and testing teams and identifies complex concurrency issues in multi-core architectures in a quick and effect manner. The solution boosts programmers’ productivity by automating the code compliance checking process, thereby guaranteeing stable, secure, and reliable code. It has the following features:

  • Uses data flow analysis, semantic analysis, and abstract interpretation to analyze C and C++ software code
  • Processes up to 10 million lines of code in a few hours to identify quality issues
  • Identifies 25 types of run time bugs including deadlock, data corruption, and zero division
  • Detects 15 unique defect patterns including crashes, freezes, and inconsistency


  • Improve code quality: Identify code defects early on in the development lifecycle
  • Minimize testing effort: Automate complex and time-consuming quality control processes
  • Accelerate speed-to-market: Release error-free code to production at a faster pace
  • Boost coder productivity: Identify the exact defect location for quick rectification  
  • Ensure compliance: Adhere to strict industry software development guidelines
  • Reduce quality-related costs: Optimize cost of quality (CoQ) and avoid product recall


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