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Whitepaper
Want a sneak peek of what’s inside? Preview the key criteria below.
Static analysis tools may look similar at first glance, but selecting the right solution requires looking beyond basic features. Evaluation should consider two key groups:
1- Technical features. Supported languages, IDEs, CI/CD pipelines, safety/security standards, and reporting capabilities.
2- Critical intangibles.
This guide provides a framework for evaluating static analysis tools for embedded development that moves beyond simple proofs of concept to ensure sustainable, long-term adoption.
Software complexity increases while delivery timeframes shrink. Modern systems often released multiple times per day, must be safe, reliable, secure, and meet industry standards. The Internet of Things alone comprises massive distributed codebases spanning edge devices and cloud services.
Static analysis tools help organizations ensure code meets uniform expectations around security, reliability, performance, and maintainability. When evaluating tools, many teams run each candidate on the same code and choose whichever reports the most violations.
This isn’t a product evaluation, it’s a bakeoff. And the winner isn’t necessarily the best tool for establishing a sustainable, scalable static analysis process within your team or organization. Many key factors that differentiate successful adoption from failed initiatives are overlooked during these exercises.
Before searching for tools, make a brutally honest assessment of where your organization stands today and where you hope static analysis will take it:
Static analysis examines source code without execution, typically to find bugs or evaluate quality. Unlike dynamic analysis or unit testing (which requires a running program), static analysis works without needing an executable.
This means it can be used on partially complete code, libraries, and third-party source. It can be accessed as code is being written or modified, or checked into any arbitrary code base. In the application security domain, it’s called static application security testing (SAST). Many commercial tools support both security vulnerability detection and bug detection, quality metrics, and coding standard conformance.
Static analysis is highly recommended or mandated by safety standards such as ISO 26262, DO-178C, IEC 62304, IEC 61508, and EN 50716 for their ability to detect hard-to-find defects and improve security. They also help software teams conform to coding standards like MISRA, CERT, AUTOSAR C++14, and others.
Modern static analysis tools have evolved into comprehensive platforms that go far beyond basic code checking. Leading solutions provide flexible configuration to handle large and legacy codebases, customizable checkers, and CI/CD-ready deployments, making proper configuration a critical factor for long-term success and avoiding false positives.
Effective integration across IDEs, CI/CD pipelines, and the broader toolchain ensures static analysis fits naturally into existing workflows rather than becoming a bottleneck. Ease of use is equally important, as features such as on-the-fly IDE analysis, clear documentation, and automated result management directly impact adoption and sustainability.
Advanced reporting and analytics help teams identify risk, prioritize findings, track trends over time, and communicate project status and ROI. Comprehensive support for safety and security standards, including audit-ready reporting and automated compliance evidence, is essential for regulated embedded development.
For a detailed capability comparison and table layout, read the full whitepaper.
Succeeding with static analysis is more than just a feature checklist. There are several intangibles that can make or break the initiative, including:
The selection process below lays out how to incorporate these important nonfunctional requirements into the evaluation effort.
The first step is to explore the available options and compile a preliminary list of tools that seem like strong contenders. What are the criteria to consider?
When word gets around that an organization or team is investigating new tools, they are likely to hear some suggestions. For instance, someone may recommend tool A because it was used on a previous project. Maybe a star developer has been using tool B on his own code and thinks everyone else should use it, too.
These endorsements are great leads on tools to investigate. However, don’t make the mistake of thinking that a strong recommendation,even from a trusted source, is an excuse to skip the evaluation process.
The problem with these recommendations is that the person offering them probably had a different set of requirements than exists now. They know that the tool worked well in one context. However, the current need is to select a tool that works well in the current environment and helps accomplish departmental and organizational goals. To accomplish this, it’s important to keep the big picture in sight during a comprehensive evaluation.
When an organization acquires a tool, they are committing to a relationship with the vendor of choice. Behind most successful tool deployments, there’s a vendor dedicated to helping the organization achieve business objectives, address the challenges that surface, and drive adoption.
It’s important to consider several layers of vendor qualification and assessment across the span of the evaluation process. At this early stage, start a preliminary investigation by getting a sense for what the vendor thinks of their own tool by reading whitepapers, watching webinars, and more. Focus on the big picture, not the fine granularity details.
Points to Consider
Evaluating software tools for adoption and integration into a company’s software development process is a time consuming yet important practice. It’s critical that organizations have a clear understanding of their goal and motivation behind it when adopting any new tool, process, or technology. Without an end goal, success is indeterminable.
Static analysis tool evaluations often end up as a ‘bake off’ where each tool is tested on a common piece of code and evaluated on the results. Although this is useful, it shouldn’t be the only criteria used. Technical evaluation is important, of course, but evaluators need to look beyond these results to the bigger picture and longer timeline.
Evaluators need to consider how well tools manage results including easy-to-use visualization and reporting.
Teams also need to clearly understand how each tool supports claims made in areas like coding standards, for example. The tools that vendors use themselves need to be part of the evaluation. A vendor who becomes a partner in your success for the long haul is better than one that can’t provide the support, customization, and training the team requires.
Most important of all is how each tool answers these three key questions:
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