Web apps have no location constraint. As desktop is confined to a stand-alone machine they can be only accessed from the machine they are deployed in. Desktop apps have better authorization and administrators have better control. As a result they are more secure.
But all the web apps are at higher security risks because they are designed to increase accessibility. Web apps require the internet connectivity for their operation. Desktop app does not require internet for its operation. Nevertheless, desktop apps need internet connectivity when they are updated. Web application development and its maintenance involve higher costs and mostly recurring in nature.
Desktop applications are purchased one time and there are no continually occurring charges. However, in certain cases, maintenance fees may be charged. Desktop app testing means concentrating on a particular environment personal computers, machines and systems.
The app is tested in such categories as GUI, functionality, backend i. DB and Load. This type of testing requires knowledge of operating system and database as one focuses on definite environment. It means testing the application entirely in features like graphical user interface, functionality, backend, database and load. The user also needs to ascertain the ways to check memory leaks and unhandled exceptions.
Functional Testing Check for broken links. Compatibility Testing Testing the application on different operating systems. The prioritization of risks or potential errors is the engine behind risk driven testing. Impact, the first category, examines what would happen in the event of a break down. For example, would entire databases be wiped out or would the formatting just be a little off? Likelihood estimates the probability of this failure in the element being tested.
Risk driven testing prioritizes the most catastrophic potential errors in the service of time efficiency.
Performance testing is another strategy for testing client and server programs. Simply put, performance testing evaluates system components, such as software, around specific performance parameters, such as resource utilization, response time, and transaction rates. It is also called load testing or stress testing. In order to performance test a client-server application, several key pieces of information must be known. For example, the average number of users working simultaneously on a system must be quantified, since performance testing most commonly tests performance under workload stress.
Testers should also determine maximum or peak user performance or how the system operates under maximum workloads.
Performance testing also validates and verifies other performance parameters such as reliability and scalability. Performance testing can establish that a product lives up to performance standards necessary for commercial release. It can compare two systems to determine which one performs better. This determines which parts of the program might cause the most trouble and it establishes thresholds of acceptable response times. Unit testing, Integration testing, and System testing. There are different types of software testing that focus on different aspects of IT architecture.
Three in particular are particularly relevant to client server applications. These are unit testing, integration testing, and system testing. A unit is the smallest testable component of a program. Modules are made up of units. Unit testing isolates small sections of a program units and tests the individual parts to prove they work correctly.
They make strict demands on the piece of code they are testing. This can be accomplished on different operating systems and is independent of where the applications or documents reside. Direct supplier-to-customer relationships. Richer documents. Netcentric technologies such as HTML, documents, plug-ins, and Java and standardization of media information formats enable support for complex documents, applications and even nondiscrete data types such as audio and video.
Application version checking and dynamic update. Netcentric computing can checking and update application versions dynamically. In both cases, there is a distribution of presentation services, application code, and data across clients and servers.
In both cases, there is a networking protocol that is used for communication between clients and servers. In both cases, they support a style of computing where processes on different machines communicate using messages. Server processes respond to messages from clients. Viewed conceptually, the layers are presentation, process, and database. Viewed physically, the layers are server, client, middleware, and network.
Nearly all of the processing happens on the client, and client accesses the database directly rather than through any middleware. In this model, all of the presentation logic and the business logic are implemented as processes on the client.
Hence, it is the simplest one to test. Direct access to the database makes it simpler to verify the test results. The disadvantage of this model is the limit of the scalability and difficulties for maintenance. This kind of model is known as modified 2-tiered architecture. In terms of software testing, modified 2-tiered architecture is more complex than 2-tiered architecture for the following reasons: It is difficult to create a direct test of the business logic.
Special tools are required to implement and verify the tests. Another complication is dynamic database queries. They are constructed by the application and exist only when the program needs them.
Special utilities that show what is running in memory must be used during the tests. The middle tier is composed of one or more application servers distributed across one or more physical machines. The characteristics make the 3-tiered architecture desirable as a development and implementation framework at the same time make testing more complicated and tricky. The purpose of configuration testing is to uncover the weakness of the system operated in the different known hardware and software environments.
The full documentation can be found at SourceForge. Test earlier and more often with Rational Performance Tester, which validates web and web server applications for scalability, identifies bottlenecks, and more.
An Open Source Java-based framework that you can incorporate into your applications for performance testing, J-hawk generates performance reports to help you identify bottlenecks.
Check out our Selenium tutorial! With Performance Center from HP, you can plan and execute tests across multiple global projects. With software testing tools and consistent processes, you can create a world-class testing center with ease. A web site coverage, HTTP load generator, HTTP benchmarking, and stress testing tool, Hammerhead is designed to emulate several users from different IP addresses at maximum speeds to push your apps to the limit.
Load Xen, by Testcollab, enables you to simulate millions of requests to help you more effectively scale your applications. You can create interactions that seem just like real users to your application, randomize requests, run concurrent tests, and more with Load Xen.
There are many options available ranging from open source to enterprise-ready tools to perform load testing. We hope this list will help you choose the right load testing tool for your project depending on the kind of software you are building and your budget.
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