Software hardware integration tutorial




















From surveillance systems, to warehouse management, to medical equipment and home appliances, hardware integration makes life easier for consumers and employees, as well as lowers overall costs.

Hardware integration also increases overall productivity- the combined ease of a mobile app and hardware that does have to be manually controlled creates and environment of increased productivity and an easier workplace. Though initial costs may be high to integrate hardware and create the necessary mobile technology, this integration will decrease business costs by way of maintenance, inventory, and less manufacturing and engineering costs.

As mobile software becomes more and more advanced, linking it to hardware for some industries is almost becoming necessary. Hardware integration also creates a key competitive advantage for businesses- whether its because the workplace is improved and functions more effectively, or because their product is more appealing to consumers.

Digital hardware solutions create a more effective space for many industries. If your industry could be further improved by combining a mobile experience with hardware functionality, then a hardware-integration software solution may be a fit for you. At Enola Labs, we have successfully developed multiple automated hardware integration systems that can help provide businesses with a solution that improves efficiency and lowers overall costs. Our technical staff has decades of experience in building software strategies and solutions for Fortune companies that overcome highly complex integrated enterprise challenges.

July 23, The approach used for Software Integration can be an incremental approach top-down, a bottom-up approach or a combination of both. Incremental testing is a way of integration testing.

In this type of testing method, you first test each module of the software individually and then continue testing by appending other modules to it then another and so on. Incremental integration is the contrast to the big bang approach. The program is constructed and tested in small segments, where errors are easier to isolate and correct. Interfaces are more likely to be tested completely, and a systematic test approach may be applied. In this type of approach, individual start by testing only the user interface, with the underlying functionality simulated by stubs, then you move downwards integrating lower and lower layers as shown in the image below.

The process continues from step2 until the entire program structure is built. The top-down strategy sounds relatively uncomplicated, but in practice, logistical problems arise. The most common of these problems occur when processing at low levels in the hierarchy is required to adequately test upper levels.

Stubs replace low-level modules at the beginning of top-down testing and, therefore no significant data can flow upward in the program structure.

Note: The first approach causes us to lose some control over correspondence between specific tests and incorporation of specific modules. This may result in difficulty determining the cause of errors which tends to violate the highly constrained nature of the top-down approach.

The second approach is workable but can lead to significant overhead, as stubs become increasingly complex. Bottom-up integration begins construction and testing with modules at the lowest level in the program structure. In this process, the modules are integrated from the bottom to the top.

In this approach processing required for the modules subordinate to a given level is always available and the need for the stubs is eliminated. As integration moves upward, the need for separate test drivers lessons.

In fact, if the top two levels of program structure are integrated top-down, the number of drivers can be reduced substantially, and integration of clusters is greatly simplified.

Integration follows the pattern illustrated below. Note: If the top two levels of program structure are integrated Top-down, the number of drivers can be reduced substantially, and the integration of builds is greatly simplified. Catalog Computer Science Courses.

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