Code analysis is the process of examining source code that is carried out without actually executing the programs. It necessitates the detection of vulnerabilities and functional errors in already deployed or soon-to-be positioned software.
Qualys360 provides automated code analysis solutions that deliver relevant information about the present state of each application deployed within an enterprise-driven, multi-tiered environment.
Code analysis is a must-have option for any software application where the process is reducing IT expenses and attaining early problem identification.
Code quality is often considered an internal attribute of the software application. But, there comes a few scenarios when this attribute of quality goes from being internal to external. To measure the code quality, we can use different static code analysis tools that they check on code quality and look for code patterns with errors and bad practices.
Qualys360 helps you measure the code quality & carry out the technical debt analogy which will justify the case on why to invest in the code quality. Most organizations face the coding phase under pressure and with the need to deliver something quickly. In many cases, good practices like unit tests, etc. go by untouched. When they do, it is declared that you are scoring a debt with the software. Today many organizations release the software without having done all these quality practices, and then they are left with the debt of doing them at some point shortly.
Given the fact that code reviews are important to improve code quality and to make the codebase more stable. It’s also important to emphasize that coverage at the code level analysis does not guarantee that the software is bug-free, not even the most demanding one.
Without the proper software development tools, developers have to produce efficient, effective code under tight deadlines which leads to coding errors and vulnerabilities. So it is important to use a static code analysis tool, which verifies the security, quality, and compliance of the code and also improves the output.
When anyone checks their code against a coding standard, they might get a wall of bugs. Assessing the code quality helps the team to decide whether to move the application into production or not. If the problems are minor, then the application can go into production and be fixed later. Categorizing the rules with a severity matrix helps the team assess the code quality and prioritize bug fixes where defects will have to be prioritized among all to get the high severity ones fixed first. Likewise, we have any rules useful for coding standards. One of them is to configure the data repository with read-only access and protect it from the high risks.
Identifying vulnerabilities at an early stage helps detect the risks and helps the organization create a plan to prevent the vulnerabilities from causing future damage. This vulnerability management is a continual process, which combines technology and a team of security experts to proactively detect and act upon security risks.
A to reduce the security risk profile of any organization by comparing the code analysis & development activities done by the developer, team, and by other job workers.
We can help in finding the weaknesses in the code at the exact location and the assessment will be conducted by using the automated tools which will provide a quicker turnaround for fixes.