8 Tips to Maximize Salesforce Code Analysis

8 Tips to Maximize Salesforce Code Analysis_CodeScan

It’s no secret that we place a huge importance on the quality of the code that makes up your DevOps projects. And there’s good reason for that: strong code creates strong projects. That might sound reductive and simple, but it’s true.

It’s impossible to produce consistently high-quality and secure applications and updates without reliable coding structures.

8 Tips to Maximize Salesforce Code Analysis_CodeScanEven the best developers are going to make the occasional mistake. People simply aren’t always perfect, particularly when it comes to repetitive tasks and thousands of lines of code.

A combination of best practices and powerful tools can be the best way to improve the quality of your code and consistently produce secure applications and updates.

But how do you put systems in place to adequately perform Salesforce code analysis? Which tools and processes can you provide your team members to enable them to produce the best code possible?

1. Utilize Automation

Manual processes are time consuming, costly, and vulnerable to human error. Even the most talented team members are liable to make mistakes, especially in a repetitive task such as analyzing large amounts of code. Introducing automation to Salesforce code analysis immediately offers benefits to quality and speed.

Automated code analysis increases team member productivity by taking repetitive and time-consuming tasks off of their hands.

Static code analysis is an integral part of an optimized Salesforce DevOps strategy. Testing code is an essential step toward releasing an update or application, and automating that process contributes to stronger products.

2. Incorporate with CI/CD

A synergistic approach to DevOps will yield the greatest results. And the best way to accomplish this is to utilize as many specialized tools as possible to streamline the various stages of the development cycle. Every stage of testing feeds into the next and contributes to the overall quality of an application or update.

Implementing continuous integration and continuous delivery/deployment (CI/CD) expands the benefits of a Salesforce code analysis tool.

Multiple layers of automated testing ensure bugs and errors will be found before they have time to become a larger issue. CI/CD adds another layer of security to the code review process.

3. Evaluate Existing Technical Debt

8 Tips to Maximize Salesforce Code Analysis_CodeScan

Any outstanding errors or bugs can become data security vulnerabilities and a risk to your overall environment. Clearing up these issues not only works to secure your Salesforce instance, but it also enables future development through a mitigation of overall risk.

Technical debt creates extra work for your development team, drawing them away from writing new code and furthering outstanding projects.

Assessing and mitigating the technical debt that currently exists within production orgs paves the way for successful Salesforce code analysis. This process can even be addressed with a static code analysis tool.

4. Address Metadata

Metadata exists in the background of every aspect of your Salesforce environment. Every process, customization, field, and more contributes to the ever-growing amount of metadata in your system. And this metadata needs to be addressed and protected just as much as other types of system data to ensure continued operations.

Lost, damaged, or corrupted metadata can lead to a breakdown in processes and contribute to improper functionality in your Salesforce code analysis processes.

Addressing metadata with a static code analysis tool ensures total visibility into the health of this important aspect of your environment.

5. Define Expectations

What do you hope to gain from your Salesforce code analysis efforts? Sure, everyone wants error-free code, but you can go deeper than that. Perhaps you want to streamline your processes? Or maybe you want to increase your number of releases per year? Do you want to find and rectify a growing backlog of technical debt?

Knowing what you want to accomplish will direct your efforts and help allocate resources to appropriate areas.

A proper code analysis strategy will take a variety of factors into consideration. The very first consideration needs to illuminate what you hope to gain from your efforts.

6. High Level + Low Level Analysis

8 Tips to Maximize Salesforce Code Analysis_CodeScanComplete oversight of code health—and the processes a business utilizes to achieve high quality products—requires multiple levels of analysis.

First, and perhaps most apparent, are the line-by-line analyses of the lines of code themselves. This will include checking for proper structures, overwrites, and other potentially harmful interactions between lines of code.

Second, proper Salesforce code analysis should also include a high-level view of the review process as a whole. How long did the process take? How many lines of code were addressed? Was the deployment successful? Were errors found later in the project pipeline?

These types of insights will show how successful your code analysis efforts actually are and point to potential improvements.

7. Integrate with Popular Plugins

Many development environments will inevitably include a series of customizations. Developers can take that a step further and integrate a new development environment through IDE plugins. The DevOps tools you use for code analysis, CI/CD, and anything else will need to work within these plugins just as well as they would in a standard Salesforce environment.

Sourcing quality tools with the flexibility to meet your team’s specific needs will support successful code analysis and enable your DevOps team.

Editor plugins can be a great way to properly test your applications and updates and plugging a Salesforce code analysis tool into them makes them eve more powerful.

8. Create Reusable Processes and Refine Them Over Time

The best DevOps processes are those that have been altered to meet evolving needs. Refining your approach requires sustained attention. Taking the time to investigate what worked and what didn’t in a singular project will inform future efforts and lead to more successes.

Templatizing your code analysis process reduces time spent planning each project.

Static code analysis tools simplify the process of ensuring proper stability of coding structures. However, the surrounding processes in the DevOps pipeline can—and should—continue to be tweaked over time.

Develop high quality, secure code!

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