Through careful programming and quality analysis (QA), sturdy applications are created. In the past, a majority of this review was done through manual processes – in other words, going through each line to ensure proper operations.
Today, this is done through methods of artificial intelligence (AI). Here is some more information on how to analyze application source code.
What Does Source Code Analysis Mean?
Source code analysis of an application is an automated process. Its purpose is to find faults and repair them before distribution to the public.
As a result, it removes the necessity to create different quality control (QC) test cases. Instead, it concentrates on finding the primary faults that are harmful to the proper operation of the application.
How Is Source Code Analysis Done?
The source code of a software program is placed into an analysis tool such as a Static Application Security Testing (SAST) program, which is utilized by companies like Micro Focus. When activated, the program identifies the root causes of issues. It does this from the inside out. In other words, source code analysis tools don’t require the application to be active to perform a scan.
In the case of a SAST tool, the source code is reviewed for vulnerabilities that result in gaps. These spaces are utilized by cyber extortionists to add malicious lines of programming. Furthermore, this form of analysis tool provides ways to remediate the issues.
Needless to say, this doesn’t provide a 100% guarantee of protection. However, what it does give you is an opportunity to implement the proper measures to close those gaps. Thus, the risk of cyberattacks on your system and the application’s users is greatly reduced.
The Importance of Source Code Analysis for a Web Application
Source code analysis for a web application is crucial for many reasons. The first relates to operations. To encourage customers to utilize a program, it must have a powerful and simple user interface (UI). This has to properly connect with a user experience (UX) that quickly provides the necessary information.
When one of these components fails, due to security issues or faulty code, the balance is shifted. Thus, users turn away and try another program. As a result, your productivity and revenue significantly decrease.
The second importance is to maintain the security of your organization and customers. There seems to be an unending stream of stories where the personally identifiable information (PII) of clients was stolen from companies’ databases due to security gaps. Through an automated source code analysis, this is considerably mitigated. Even if upgrades are made to the code, the AI-style review detects potential gaps in new programming lines.
You can’t create and release an application without a source code review. This goes beyond correcting an image or changing the color of a call to action (CTA) button. It means scouring the entire program to find areas where serious failures occur or where security is compromised. Overall, source code analysis saves you time and money. Simultaneously, it improves a customer’s happiness and productivity.