Code Analysis

Testing systems to ensure that they are error free is a key objective of QA Valley, but testing alone does not measure the elegance and robustness of the written code.  QA Valley goes beyond system testing to include Code Analysis in its service offerings, encompassing both Static Code Analysis and Dynamic Code Analysis, using a full spectrum of tools such as SonarQube, DeepSource, Codacy, DeepScan, Embold, and Reshift; and VB Watch, PVS-Studio, BoundsChecker, Jtest, and Dmalloc.  Code Analysis has transcend us in QA maturity way above traditional software testing integrators.

Code analysis is an important QA activity of examining the source code with an objective of fine tuning its performance and reliability by implementing code optimization methods. The best practices are conducting static and dynamic code analysis together and to integrate source code analysis into different stages of the development process to reap the benefits of facilitating a more reliable software product as the end result. Static code analysis is all about checking the source code, byte code or application binaries for the presence of any possible vulnerability. Dynamic code analysis is an exactly opposite method of static code analysis. It is conducted in a runtime environment to discover the defects that remained latent during static code analysis. 

The major benefits of code analysis are secure software development process, Knowing the vulnerability’s exact location, early detection and quick remediation, cloud infrastructure support and improved coding ability. The rapid awareness and the concern over the security and privacy aspects of software products has made it imperative to ascertain that code analysis is performed thoroughly for the software applications. Traditional strategies that depend on firewalls and antivirus software are not sufficient in the current scenario of multiple environments for which the products are designed and deployed.

Conducting Static and dynamic code analysis together is a best practice and helps in uncovering issues in code, run-time scenarios.  Usually, trained test engineers with sound knowledge of secure coding practices have to lead the assignment.  Dynamic analysis employs manual test cases to detect vulnerabilities related to session management, information leakage, authentication issues. Involving testers in the early stages of software development, availability of static code analysis tools are the components that need to be organized properly to effectively perform code analysis.