With reports of website vulnerabilities and data breaches regularly featured in the news, securing the software development life cycle (SDLC) has never been so important. Enterprises must, therefore, choose carefully the correct security techniques to implement. Static and dynamic analyses are two of the most popular types of code security tests. Before implementation however, the security-conscious enterprise should examine precisely how both types of test can help to secure the SDLC. Testing, after all, can be considered an investment that should be carefully monitored.
Static analysis is performed in a non-runtime environment. Typically, a static analysis tool will inspect program code for all possible run-time behaviors and seek out coding flaws, back doors, and potentially malicious code. Dynamic analysis adopts the opposite approach and is executed while a program is in operation. A dynamic test will monitor system memory, functional behavior, response time, and overall performance of the system. This method is not wholly dissimilar to the manner in which a malicious third party may interact with an application. Having originated and evolved separately, static and dynamic analysis have, at times, been mistakenly viewed in opposition. There are, however, a number of strengths and weaknesses associated with both approaches to consider.
Static analysis, with its whitebox visibility, is certainly the more thorough approach and may also prove more cost-efficient with the ability to detect bugs at an early phase of the software development life cycle. For example, if an error is spotted at a review meeting or a desk-check – both types of static analysis – it can be relatively cheap to remedy. Had the error become lodged in the system, costs would multiply. Static analysis can also unearth future errors that would not emerge in a dynamic test. Dynamic analysis, on the other hand, is capable of exposing a subtle flaw or vulnerability too complicated for static analysis alone to reveal and can also be the more expedient method of testing. A dynamic test, however, will only find defects in the part of the code that is actually executed. The enterprise must weigh up these considerations with the complexities of their own situation in mind. Application type, time, and company resources are some of the primary concerns. The level of technical debt the enterprise is willing to take on may also be measured. A certain amount of technical debt may be taken on if the financial benefits of beating a competitor to the market place outweigh the potential savings of more rigorously tested code. While both static and dynamic tests have their shortcomings, it is not ideal that the enterprise should face a choice. While static analysis could be considered a superior method of testing, it does not necessarily follow that it should automatically be chosen over dynamic analysis in every situation where the choice emerges.
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While static and dynamic analysis can be performed manually they can also be automated. Used wisely, automated tools can dramatically improve the return on testing investment. Automated testing tools are an ideal option in certain situations. For example, automation may be used to test a system’s reaction to a heavy volume of users or to confirm a bug fix works as expected. It also helps to automate tests that are run on a regular basis during the SDLC. As the enterprise strives to secure the SDLC, it must be noted that there is no panacea. Neither static nor dynamic testing alone can offer blanket protection. Ideally, an enterprise will perform both static and dynamic analyses. This approach will benefit from the synergistic relationship that exists between static and dynamic testing.