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The process of encoding a bit into several chips is called spreading The spreading factor for this operation defines how many chips are used to encode a single bit The speed with which the chips are transferred over the UMTS air interface is called the chip rate and is 384 MChips/s independent of the spreading factor As the chip rate is constant, increasing the spreading factor for a user means that his data rate decreases Besides a higher robustness against errors there are a number of other advantages of a higher spreading factor: the longer the code, the more codes exist that are orthogonal to each other This means that more users can simultaneously use the transmission channel than compared to a system in which only shorter spreading factors are used As more users generate more noise, it is likely that the error rate increases at the receiver side.

of rating agencies and hot money is that they create a countervailing power and they discourage corruption. We must also mention the negative role of hot money transfers when the investors rely on private rating agencies. A trillion dollars going in and out of different countries daily can obviously increase the volatility of markets. Changes in credit ratings lead to herd behavior by investors, even if the ratings themselves are in response to valid new information. The herd behavior creates intrinsically self-ful lling short-run instabilities. When ratings go down, cost of borrowing for that country increases, precisely at the time when a country in trouble can least afford it. Sometimes investors lose money even before the country ratings are lowered. If so, they try to sell investments in other similar countries (same geographic region or similarly situated). Investors need only a limited amount of information about impending trouble, not detailed information. This can create a rush to beat the rating agencies. In any case, pessimism is self-ful lling and can lead to further declines in balance of payments. On balance and in the long run, rating agencies play a mildly positive role by inviting market discipline and thereby reducing corruption. Since markets treat everyone equally, market discipline is politically more bearable than edicts from IMF bureaucrats, who can sometimes make wrong policy recommendations. Since the IMF has little expertise in tax de cits, corruption, and weaknesses of local banks in all countries, the IMF did make some wrong calls in response to the Asian contagion. 7.4.5 Corruption and the Home Bias

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As a result of these complexities, it was unclear whether the intermittent failures resulted from code that did not satisfy the existing quality standards or from an issue that the team had not previously encountered The authors of this book concur with Royce [1], who contends that inspections are overestimated as a key part of quality in modern software systems The high level of complexity of modern software systems with innumerable components, concurrent execution, distributed resources, and other equally demanding dimensions of dif culty necessitates the use of automation, leaving only the most critical components to manual inspection Strained Relationships with the Outsourcer Due to the Nonexpandability of the Outsourced Code The relationship with the outsourcer was strained when the team manager discovered that the local team could not easily modify and expand the code delivered by the outsourcer.

This appendix describes some techniques for testing and xing out-ofmemory (OOM) robustness issues and memory leaks. OOM robustness means that when some memory allocation operation fails, the error is handled gracefully. The program should not crash. It should not produce incorrect results. It should not leak memory. As a case example, I will be using Redland,2 a set of open source libraries for processing resource description framework (RDF) data. RDF is a set of related World Wide Web Consortium (W3C) speci cations.3 They were originally designed as a metadata model. Currently RDF is used for modeling all kinds of data, using various syntax notations. Usually the data is about web resources and RDF is the core of what is often called the semantic web . In a project I was working on, I wanted to convert existing legacy data sources to RDF and run SPARQL queries on them. SPARQL is an SQL-like standardized query language for RDF data. Instead of writing everything from scratch, I decided to port existing open source components to Symbian OS and ended up porting Redland. It provided me with RDF parsers, serializers, storage and a query engine that supports SPARQL. Redland is written in C without any complex dependencies. Porting the core functionality was relatively straightforward using the P.I.P.S. libraries for Symbian OS. Redland s Apache 2.0 and LGPL 2.1 dual license was also generous enough for my needs.

However, as more chips are used per bit, a higher error rate can be accepted than for a smaller spreading factor This in turn means that a lower signal-to-noise ratio is required for a proper reception and thus the transmission power can be reduced if the number of users in a cell is low As less power is required for a slower transmission, it can also be said that a higher spreading factor increases the gain of the spreading process (processing gain) See Figure 310 If shorter codes are used, ie fewer chips per bit, the transmission speed per user increases However, there are two disadvantages: due to the shorter codes, fewer people can communicate with a single base station at the same time.

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