Today, development has to be agile as developers are under pressure to deliver timely releases while meeting quality and compliance standards. Coding is an effort-intensive task, be it on Salesforce or any other platform. Complex, legacy environments come with the possibility of having code quality issues, increasing development teams’ efforts in implementing new projects, problem-free.
How can you ensure development agility and release security in your development pipeline and processes? Salesforce applications can perform better if code execution is efficient and CI/CD pipelines have automated release management. However getting back to basics, optimizing code and execution comes down to code scanning and static analysis tools.
What is static code analysis?
Static code analysis is a method of utilizing technology for debugging code by examining and identifying vulnerabilities before running a program. It identifies code issues and errors, checks standardization violations, and presents security weaknesses in the code. Static code analysis can be done manually or by using automated tools. Manual code analysis is a time-consuming process, especially in more complex organizations, and does not have a 100% guarantee of revealing vulnerabilities, whereas automated static code analysis tools are proven to save on effort, time, and ROI.
How does a static code analysis tool work?
Fixing issues post-deployment can be challenging, and you surely don’t want to wait for a bad actor to find—and exploit—coding errors first. With a static code analysis tool, you take proactive control instead. In an automated review process, using static code analysis software takes five easy steps.
- Static code analysis tool syncs to the coding environment.
Once you’ve chosen the best static code scanning tool to meet your needs, you must integrate it into your existing coding environment. Doing so successfully requires allowing the program to review as much code as possible, so you need to ensure its compatibility and adoption at the beginning of the development sequence. Using your code scanning and static analysis tools early also supports the software’s learning process—it picks up on your unique patterns and standards to identify irregularities and form rules. - Developers write code.
Ideally, you want your coders to spend time coding, not reviewing and revising code. The best static code scanning tools work in real time. That means your DevOps team gets immediate feedback during the coding process. - Static code analysis tool checks for code bugs + vulnerabilities.
Successful static code analysis begins by dividing larger pieces of code into smaller blocks, or “tokens,” while overlooking code that doesn’t support the semantics, like coder comments. The software then parses these tokens to structure the relevant data, and the static analysis tool compares the data against its rule sets and scans for known vulnerabilities. During this stage, the tool conducts a line-level review to detect issues that can affect performance and potential entry points for bad actors, like:
- The use of single rather than double quotation marks.
- Buffer overflows.
- Nonconformance with organizational standards.
- Security misconfigurations.
- Syntax violations.
- Too many nested loops.
- Undefined variables.
- Unused imports.
- An analysis report or alert is created.
Once the tool detects a vulnerability, it generates a user alert or report that’s valuable during the code review process. Manual reviews are often lengthy, while software can scan in a fraction of the time. More comprehensive scanning tools make this process even easier by highlighting the exact line and snippet of code requiring attention. Plus, timely notifications allow for faster intervention, which means less time researching and revising later in the DevOps cycle.
During this stage, your DevOps team has the opportunity to thoroughly analyze the scanning results to eliminate potential false positives. This step also saves time by preventing unnecessary code revision. - Developers fix the critical issues.
Armed with accurate and actionable feedback, your team can prioritize the issues your static scanning software uncovered and focus on correcting critical vulnerabilities before testing and beginning the process again.
Ensuring Code Quality + Security
Static code analysis is crucial to identifying weaknesses in source code and code quality. These gaps might lead to vulnerabilities in the application, which can compromise application quality and functionality once deployed. In addition to maintaining quality, adherence to coding guidelines and standards can be enhanced with static code analysis tools. It will help organizations implement code quality guidelines easily across their environments while also providing more project transparency.
Static Analysis vs. Dynamic Analysis
Static analysis and dynamic analysis fundamentally have the same goals – to detect defects. However, the difference between the two is the software development lifecycle stage to which the analysis is applied.
In static analysis, defects are detected before executing the code. Static code analysis software compares the code against a given set of rules or coding standards before the unit or integration testing. Organizations using DevOps and CI/CD pipelines have static analysis as a quality check parameter before pushing the code from the testing environment to production.
In dynamic analysis, defects are detected after you run a program. There are no set of rules as the source code may run with a variety of inputs. Dynamic analysis can be used to troubleshoot production incidents faster. In CI/CD pipelines, it will prevent bad quality code from going into production.
Not all coding errors are discovered in dynamic testing, but they can be found in static testing. The best static code analysis tools provide more comprehensive coverage of code quality through the development pipeline.
What are the benefits of static code analysis tools?
Below is a breakdown of the benefits you gain by applying static code scanning tools to your DevOps workflow:
- Code Optimization: Static analysis tools provide early insights into code errors and issues. This enables early vulnerability identification and fixes before the testing stage. It helps in reducing efforts, costs, and complexities that would occur if defects were discovered at a later stage in the software development lifecycle.
- Speed: Manual code review is time-consuming. Using static code analysis software, large volumes of code can be analyzed quickly, thereby increasing productivity and reducing resource efforts.
- Depth: Static code analysis tools analyze code in-depth and find weaknesses in the exact locations in the codebase. Good static code analysis tools will pinpoint the error with a single click.
- Accuracy: Static analysis tools accurately point out vulnerabilities and adherence to common coding standards. Common errors committed by developers are easily identified.
- Security: In complex coding environments, developers can miss security vulnerabilities in a manual review. The usage of static analysis tools helps in improving the security aspect of the application. These tools can identify issues like XSS in lightning applications, prevent SOQL/SOSL injections, cross-site scripting, etc.
Code review in Salesforce
With dedicated Salesforce DevOps team members in charge of code review, why does static code analysis matter? Maintaining code quality helps with the longevity of Salesforce applications in design, implementation, and updates. Static code review tools assist teams in identifying common errors, increase testing turnaround time, and increase efficiency and productivity with lower margin of error. The ways that static code scanning tools benefit Salesforce development are:
- Prevent bad coding
- Enforce organization coding standards
- Prevent security vulnerabilities
- Identify performance gaps
- Identify weakness in testing
- Identify and eliminate bad code
- Reduce code duplication
Salesforce static code analysis tools are important in order to work with Salesforce coding languages, like Apex, Lightning, Visualforce, and Metadata.
Salesforce Apex static code analysis tools
Apex is a development platform for building SaaS applications and the proprietary language for the Lightning platform. It lets developers access Salesforce’s back-end database and client-server interfaces to create third-party SaaS applications.
What is Apex Static Code Analysis?
Apex static code analysis involves the utilization of static analysis to identify issues within the Apex coding language, such as bugs, code smells, and security vulnerabilities. Tools like Sonar language analyzer, with its extensive rule set, can be used to examine your code, ensuring the security, reliability, and maintainability of your software.
An Apex code analysis tool or API can be used to access user data on Salesforce. You can choose from multiple self-hosted and cloud-based code analysis tools for Apex Salesforce. PMD is a free Apex code analyzer, while the others like Checkmarx and CodeScan will require paid licenses to detect cross-site scripting, SOQL injections, SOSL injections, frame spoofing, and access control issues. Free Apex static code analysis tools have technical limitations to the lines scanned, the rules, and access to the platform.
Salesforce Lightning code analysis tools
Salesforce Lightning is a component-based framework for app development that helps simplify business processes. Lightning Web Components (LWC), an updated version of Lightning components, implements lightweight frameworks built on web standards, giving Salesforce Admins and Developers the tools to enhance user experience. There are a limited number of code analysis tools for Salesforce Lightning in the market. There is a Lightning CLI component in CodeScan, which is built to catch the OWASP top 10 bugs. On Salesforce, CodeScan can identify specific security issues like FLS violations, SOQL-injections, CRUD, and more. CodeScan has also over 350+ security and quality rules and is one of the ideal choices for Lightning. It integrates directly with Salesforce and popular CI/CD pipelines.
Visualforce code analysis tools
Visualforce is a component-based user interface(UI) framework that Salesforce developers use to create dynamic, reusable interfaces. It is part of Salesforce’s Force platform as a service and is supported by many static code analysis tools. Apex PMD or PMD (Programming Mistake Detector) has a few built-in rules for Visualforce pages. Other products with Salesforce static code analysis tools that support the Visualforce interface include Checkmarx, SonarQube, and CodeScan.
Static code analysis tools for Salesforce Metadata
Metadata in Salesforce is about the fields, code, logic, configurations, and page layouts that enable the architecture of Salesforce information, platform, and environment. You can import Metadata and also modify it through the Salesforce Metadata API. CodeScan static code analysis tool has Metadata scanning along with numerous security and quality rules. Salesforce has a variety of low code and pro-code development options as well. While static code scanning tools are necessary for both low-code and pro-code development, the urgency for a tool may be lower for low-code options. In any event, it is important that the static analysis tools support the ability to scan Metadata.
CodeScan’s code analysis solutions
CodeScan provides end-to-end static code analysis solutions exclusively for Salesforce development teams. It has over 350+ quality and security rules and is the most comprehensive static code analysis suite available, supporting all Salesforce languages, Apex, Lightning, Visualforce, and Metadata. CodeScan directly integrates with Salesforce CI/CD pipelines and with popular Salesforce IDEs, making code review convenient for DevOps teams using different tools and plug-ins.
CodeScan enables Salesforce developers to develop quicker by maintaining continuous code quality. With the ability to customize quality gates, CodeScan’s intuitive dashboard has mission-critical metrics and the ability to track technical debt across projects. With the ability to automate code analysis, DevOps teams save time and effort in the code review process with early detection of issues, helping to reduce production issues significantly. It enhances code security based on CWE and OWASP standards, while enforcing coding standards and guidelines across the organization. Explore our Salesforce Lightning, Visualforce and Apex static code analysis tools.