Application software testing methods

SCA tools can run on source code, byte code, binary code, or some combination. The SQL Slammer worm of exploited a known vulnerability in a database-management system that had a patch released more than one year before the attack. Although databases are not always considered part of an application, application developers often rely heavily on the database, and applications can often heavily affect databases.

Database-security-scanning tools check for updated patches and versions, weak passwords, configuration errors, access control list ACL issues, and more. Some tools can mine logs looking for irregular patterns or actions, such as excessive administrative actions. Database scanners generally run on the static data that is at rest while the database-management system is operating.

Some scanners can monitor data that is in transit. Hybrid approaches have been available for a long time, but more recently have been categorized and discussed using the term IAST.

IAST tools use a combination of static and dynamic analysis techniques. They can test whether known vulnerabilities in code are actually exploitable in the running application. IAST tools use knowledge of application flow and data flow to create advanced attack scenarios and use dynamic analysis results recursively: as a dynamic scan is being performed, the tool will learn things about the application based on how it responds to test cases.

Some tools will use this knowledge to create additional test cases, which then could yield more knowledge for more test cases and so on. MAST Tools are a blend of static, dynamic, and forensics analysis. They perform some of the same functions as traditional static and dynamic analyzers but enable mobile code to be run through many of those analyzers as well.

MAST tools have specialized features that focus on issues specific to mobile applications, such as jail-breaking or rooting of the device, spoofed WI-FI connections, handling and validation of certificates, prevention of data leakage , and more. As the name suggests, with ASTaaS, you pay someone to perform security testing on your application. The service will usually be a combination of static and dynamic analysis, penetration testing, testing of application programming interfaces APIs , risk assessments, and more.

ASTaaS can be used on traditional applications, especially mobile and web apps. Momentum for the use of ASTaaS is coming from use of cloud applications, where resources for testing are easier to marshal.

Dealing with false positives is a big issue in application security testing. Correlation tools can help reduce some of the noise by providing a central repository for findings from others AST tools. Different AST tools will have different findings, so correlation tools correlate and analyze results from different AST tools and help with validation and prioritization of findings, including remediation workflows.

Whereas some correlation tools include code scanners, they are useful mainly for importing findings from other tools. Test-coverage analyzers measure how much of the total program code has been analyzed. The results can be presented in terms of statement coverage percentage of lines of code tested or branch coverage percentage of available paths tested.

For large applications, acceptable levels of coverage can be determined in advance and then compared to the results produced by test-coverage analyzers to accelerate the testing-and-release process. These tools can also detect if particular lines of code or branches of logic are not actually able to be reached during program execution, which is inefficient and a potential security concern.

These can typically be broken down between functional and non-functional testing. Functional testing involves testing the application against the business requirements. It incorporates all test types designed to guarantee each part of a piece of software behaves as expected by using uses cases provided by the design team or business analyst.

These testing methods are usually conducted in order and include:. Non-functional testing methods incorporate all test types focused on the operational aspects of a piece of software. These include:. The key to releasing high quality software that can be easily adopted by your end users is to build a robust testing framework that implements both functional and non-functional software testing methodologies.

Unit testing is the first level of testing and is often performed by the developers themselves. It is the process of ensuring individual components of a piece of software at the code level are functional and work as they were designed to. Developers in a test-driven environment will typically write and run the tests prior to the software or feature being passed over to the test team. Unit testing can be conducted manually, but automating the process will speed up delivery cycles and expand test coverage.

Unit testing will also make debugging easier because finding issues earlier means they take less time to fix than if they were discovered later in the testing process. The difference could be in the tools used for testing, some common tools used for mobile application testing are Sikuli, TestComplete, FoneMonkey, Robotium, etc.

A complete mobile testing application strategy includes device and network infrastructure, selection of target devices, and an effective combination of manual and automated testing tools to cover both non-functional and functional testing.

With increased number of mobile user and devices, testing mobile app becomes more and more complex. Testing a mobile application is significantly different from that of a desktop-based web application. The common challenges faced during mobile testing are. In Application Testing, the entire application is tested, for that different approach, tools and methodology are used. Performing Application Testing before go-live is crucial to software product success.

Skip to content. Example Template What is Security Testing? Report a Bug. Previous Prev. By this way, test coverage can be increased and we can measure this coverage also by using traceability matrix. In the traceability matrix, we create a matrix table with test scenarios and requirements and put a cross sign in the relevant field if it meets the requirements for each test case. The goal is to cover all the requirements. The user opens the Kariyer. Login to the site with the existing username and password on the login screen.

The old password is entered in the password change section. Then, enter the new password. When entering the new password, the security level on the left side is displayed as 3 levels weak-medium-strong. At the end of this process, the password change operation is expected to be performed successfully. You can not change the password by leaving any or all of the password fields blank. For test cases, you can use excel. For the sake of an example, all areas of the first successful test case are shown below.

In agile processes, we create a general checklist that is created independently from user stories. If there is not any risk is specified in the User Story, all or some of these checklist items may be used according to the scope of the user story. During execution of these tests, if you find a defect, you should extend the scope of the checklist by adding the failed scenario.

Thus, we can increase risk items in the checklist for subsequent sprints. First of all, exploratory testing is not a random or ad-hoc test. One of the biggest misconceptions about this test technique is that the exploratory testing is perceived as a random, non-testable, non-observable test technique.

Exploratory testing is a test approach based on learning and exploring the product at the same time by using the experience, domain knowledge, analytical and intellectual knowledge of a test engineer in agile processes.

Before starting exploratory testing, preparation should be done. Regardless of exploratory testing method selection, we should prepare a plan for the scope of functionality, tools to be used, test data, environment etc.

This plan will guide the tester during the test execution process. Another important point of exploratory testing is documentation is fully completed after the tests are finished. This technique involves the following steps:. This testing technique based on the knowledge, skills, and experience of the person who will make the test.

In this testing technique; test planning, test strategy, test inputs, and test scenarios are determined by the experience of the person performing the test. In order to prefer this technique, it must be an experienced candidate with sufficient technical and business knowledge to perform this test. It is easier to understand what is going right or wrong during the test because the experiences gained in past projects are taken into consideration. When we have very short test execution time or there is a lack of sufficient documentation on the project, etc.