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A use case is a technique used in software and systems engineering to capture the functional requirements of a system. Use cases describe the interaction between a primary actor the initiator of the interaction and the system itself, represented as a sequence of simple steps. Actors are something or someone which exist outside the system under study, and who (or which) take part in a sequence of activities in a dialogue with the system, to achieve some goal: they may be end users, other systems, or hardware devices. Each use case is a complete series of events, from the point of view of the actor.

According to Bittner and Spence:

“Use cases, stated simply, allow description of sequences of events that, taken together, lead to a system doing something useful.”

Each use case describes how the actor will interact with the system to achieve a specific goal. One or more scenarios may be generated from each use case, corresponding to the detail of each possible way of achieving that goal. Use cases typically avoid technical jargon, preferring instead the language of the end user or domain expert. Use cases are often co-authored by systems analysts and end users. The UML use case diagram can be used to graphically represent an overview of the use cases for a given system.

Source: http://en.wikipedia.org/wiki/Use_case

Dean Brandon

Statistical process control is an effective method of monitoring a process through the use of control charts. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste and as well as the likelihood that problems will be passed on to the customer. With its emphasis on early detection and prevention of problems, SPC has a distinct advantage over quality methods, such as inspection, that apply resources to detecting and correcting problems in the end product or service.

In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product or service from end to end. This is partially due to a diminished likelihood that the final product will have to be reworked, but it may also result from using SPC data to identify bottlenecks, wait times, and other sources of delays within the process. Process cycle time reductions coupled with improvements in yield have made SPC a valuable tool from both a cost reduction and a customer satisfaction standpoint.

Source: http://en.wikipedia.org/wiki/Statistical_process_control