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In 1987 Mr Steven Forsyth discovered that his recently constructed swimming pool was shallower by 9 inches than the speci cation called for. Despite the workmanship and materials conforming in all other respects with the quality requirements of the speci cation, the pool was nonetheless, in law, defective. Mr Forsyth sued for compensation, and ultimately found himself before the House of Lords, in Ruxley Electronics & Construction Ltd v. Forsyth (1995), where he lost an appeal about the correct approach to the assessment of compensation. Mr Forsyth s complaint about the depth of his pool serves as an illustration that defects can encapsulate more than just bad workmanship and materials, and that quality is just one category of defective work. It is useful therefore to have a general de nition of the term defect , to understand what is meant by patent and latent defects, and to appreciate the impact of discoverability on the status and legal consequences of defects.

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transfer funds between one account and another arrives, we typically need to be sure that the funds have been successfully withdrawn from the source account before we attempt to deposit them in the destination account Thus, the second operation is dependent on a confirmation of the first In fact, most programming languages (including Java) force engineers into this way of thinking because the default coding style involves declaring a list of sequential instructions This is just a by-product of von Neumann computing, where an instruction counter (physical or logical) drives execution As it turns out, there are alternative-programming models that don't pigeon-hole engineers into this style of coding (a dataflow model comes to mind) There are several examples of synchronous communication related to building Web applications In addition to the dialogue between browser and server, there's the notion of a remote procedure call (RPC), which can occur in many forms The most common is the straight-no-chaser RPC available on many operating systems as a linkable library RPC has a long history and represents the first logical, abstract approach to remote function execution, one that doesn't force the coder to worry about the low-level socket details associated with the underlying network communication There are also distributed object technologies based on RPCs Java RMI, CORBA, and DCOM are perhaps the best known Of the three, CORBA is the most generic, for two reasons One, its protocol (IIOP) is open and thus nonproprietary Two, it allows communication not only between disparate systems but between different programming languages It's possible, for example, to use CORBA as a means of communication between a C++ client and a Java-based server As we discussed in 3, RMI-IIOP is the Java solution to this problem; it attempts to combine the advantages of RMI (simplicity) and IIOP (interoperability)

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The customer is often dissatisfied because there is no clear indication that the increased profits are directly linked to the business process services or improvements (as opposed to market or other business process improvements). The vendor may become frustrated if the customer has unanticipated write-offs for the year that are not related to the business process.

Although a key advantage of synchronous communication is that a requestor receives a reply as part of the process, this feature can actually be viewed as a major disadvantage Not only can there be a long latency involved in a reply (which may lead to confusion or time-out), but any time spent waiting for a reply is less efficient than not waiting for it Also, in many cases a reply is either not needed or not needed immediately The mode of communication in which a request receives a reply at some later time (or receives no reply at all) is referred to as asynchronous It helps to visualize the difference between synchronous and asynchronous communication to understand why waiting for a reply can be considered a disadvantage Suppose that company A and company B have established a partnership where B resells some of A's products They develop a B2B-style notification system where A uses software to automatically refigure and determine prices on its products (it can do this monthly, for example) and notifies B about such changes Figure 6-3 shows how A and B might accomplish their goals by communicating synchronously It assumes that each computation takes one second and disregards any network latency Figure 6-3 Synchronous price update processing

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We see that company A needs 1 second to calculate the price of a hammer and then stalls for 1 second while communicating the price to B This is because B requires 1 second to update that price in its own database After receiving a reply from B that it has updated the hammer price, A determines the new price on a wrench, which again requires 1 second Notice that there is an arrow at the top of the figure this lets A know that its request was fulfilled The total time to process these price updates is at least 4 seconds because the communication is synchronous and so A needs to receive a reply from B Figure 6-4 shows how the same process might occur asynchronously Since company A doesn't require any reply from B (perhaps later it will want to know that B received the price changes, but this isn't immediately necessary), it can calculate the price of a hammer, communicate it to some queue that B can access without waiting for a reply Instead, it can go on to calculate the price for the wrench On its own time, B will eventually visit the queue and process the information A has left for it there Instead of wasting a cycle waiting for B to do its work, A moves right along to the next task, which makes it 50 percent more productive in this example! It completes its work in 2 seconds instead of 4 Notice that B isn't slowed down because A was waiting on its first update It's only active for 2 seconds as well, not the original 3

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