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If ever some pious programmer comes up with statements such as, My code doesn t have any bugs in it, or I ve given it a quick test and it seems to be OK, consider this nothing more than a ruse to get you off their backs. Such statements are unrealistic and unprofessional. Ultimately, this is a sackable offense. Removal of bugs is key to you being able to release working, saleable programs. Bugs don t unilaterally surrender themselves; you have to go in and route them out. Exhaustive testing of software is impossible, but the following sections present some practical ways to go about it, starting with internal testing both formally and informally, and then going on to public beta test scenarios and how to manage them.

802.11g Wireless (~30 Mbps)

Students are writing Java. File A.java was provided by the lecturer, but was possibly modified by the student. File B.java, written by the student, contains the main() for the Java application. Other Java files may have been submitted (depending on the student s design for their Java program). A README.txt documentation file was supposed to be included. The student s Java program requires a single command line parameter and no stdin input when it is run. All files were to be submitted as a single tarred and gzipped file A1.tar.gz. For this example, the processing of a submission involves the following steps:

The following assumptions are made to facilitate the analytical formulation: r The transmission rates of other classes are integer multiples of that for the class with the basic rate r The processing gain, G i,l , for class i users a using low-bit-rate spreading code are given by W/Ri,l r The processing gain, G i,h , for class i users using a high-bit-rate spreading code are given by W/Ri,h r The system is made up of hexagonal cells r The mobile users have omnidirectional antennas r The base station has three sectors in each cell r The sectorization in the cells is perfect r Users are uniformly distributed in each cell r There are equal numbers of users from each class in every cell r There is perfect power control in each cell r The spreading gain can be varied for a different traf c class.

Future technologies CORBA s strength is in the standardized services that it provides to supplement the basics of a remote object invocation These services include support for distributed transactions, events, and naming services The CORBA transaction service allows a client to define a transactional context that then can be applied to a sequence of operations on different servers and databases; the transaction service handles all the complexities of coordinating a distributed transaction An events or notifications service allows a client to register with an event channel expressing an interest in certain types of data message; for example, a client might register with a stock ticker event channel expressing a desire to be informed when prices of certain stocks change by more than a specified amount.

Figure 13.1 Flow length of all services and growth over the years 2005 2007: (a) All ows UMTS; (b) All ows GPRS; (c) TCP evolution UMTS; (d) TCP evolution GPRS.

r The spreading gain is the same within the same class r The channel is modeled as a combination of path loss and lognormal shadowing, represented by r 4 10 /10 , where r is the normalized distance between the mobile and the serving base station and is a Gaussian random variable with zero mean and variance 2 The path loss exponent, which is normally determined from measurements and is in the range 2 to 5, is assumed to be 4 in this section We are concerned with the uplink system capacity of a multirate DS-CDMA system with VBR video traf c having scene changes in terms of the number of users, n i , that can be supported for the ith class The capacity region for K classes is derived by considering the outage probability in terms of the signal/interference ratio (SIR) speci cation.