Code Analysis

The popular code analysis services offered by QA Valley are in the areas of Performance, Reliability, Security and Uniformity. QA Valley’s strategies of paring coders and programmers to carryout testing, expertise in different programming languages and availability of benchmarked practices are the assets that enable it to remain as a prominent player in the code analysis domain. Our matured code analysis capability has made our clients to engage us to ensure that the above services are implemented perfectly for their products, so that in-turn they can give assurance to their customers.

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. This test looks for the presence of any security weaknesses in application data and control paths. 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. In static code analysis the application’s source code is completely scanned to identify potential security loopholes.

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. Establishing coder- tester paring practice, involving testers in the early stages of software development, Presence of a team of white box testers with sound knowledge in testing applications, availability of static code analysis tools are the components that need to be organized properly to effectively perform code analysis.