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If the failure indicates a problem with a regression test, for example, as uncovered by a false positive result, the developers should correct the test immediately to avoid the reporting of subsequent false positive results, which in the long run can desensitize the team to all reported defects. For example, assume that a test case failed because the code functionality intentionally changed, and the expected test case outcome should have been modi ed. The developers responsible for that test case should update the test case with the new expected outcome. This review process should occur at the beginning of each day. Otherwise, the team members reduce their opportunity to learn from their mistakes. If the team does not recognize the problem, and the architect and testers do not immediately work to prevent it from recurring, developers may repeat the same mistake in successive developments, because they are unaware of the problem and/or because the process has not yet been improved to prevent that mistake.

1. Lee Kopp, Speech to Client Reception, Minneapolis, MN, June 24, 2002. Reprinted as Malignant Greed, Minneapolis Star Tribune, July 14, 2002. 2. Robert J. Samuelson, CEO Welfare, Washington Post, April 30, 2003, p. A23. 3. Jerry Useem, Have They No Shame, Fortune, April 28, 2003, pp. 56 64. 4. Jed Babbin, The American Mood, National Review Online, June 13, 2003. 5. Major Leibner s personal story was first reported by David M. Shribman, One Year After: Plunging Into the Fire, Boston Globe, September 8, 2002. 6. John A. Byrne, Restoring Trust in Corporate America, BusinessWeek Online, June 24, 2002. 7. Joseph Nocera, System Failure, Fortune, June 24, 2002. 8. Charles Colson, Law Isn t Enough, Washington Post, July 30, 2002.

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The following software engineering professionals directly contributed to the book by providing valuable comments, quotes, examples, or research: Husam Azma, Ravi Bellamkonda, Li Bin, Nathan Blomquist, Mandy BotskoWilson, Frances Castillo, Martin Curt, Megan Fazel, Shan Hina, Justin Ho, Lesley Ku, Enrico Lelina, Shu-Ping (Collie) Lu, Joe Marcelino, William Mayville, Atul Menon, Eugene Ngo, Jason Obermeyer, Scott Sanford, and Nick Stamat Dr Catherine Warner, MD, and Ms Maryanne Horton, provided valuable insights on the professional end-user experience with the modern user interfaces Agnieszka Szuta helped with graphic design Dorota would like to thank several people for their help with this project: First and foremost, her husband, Ed Huizinga, for his stimulating advice, sharing his professional expertise of real-world effects of the IT industry on modern business, and for reviewing the sections on SOX.

Pharmaceuticals represent a major class of treatments for a broad array of human diseases. These chemicals are isolated from nature or, more often, synthesized chemically. They are administered to patients to kill or arrest the growth of cancer cells or infectious microbes, to stimulate faltering hearts, and to achieve a host of other speci c clinical aims. It is widely recognized that not all people respond alike to these therapies, even when the diagnosis is quite speci c. Meanwhile, these chemicals like chemical agents encountered at work or in hobbies or as pollutants in air, water, soil, or food can also cause harm. Sometimes the known mechanisms of action permit us to predict the nature of toxicity to be expected. A meta-analysis of prospective studies from U.S. hospitals indicates that 6.7% of in-patients have serious adverse drug reactions; 0.3% have fatal reactions (Lazarou et al., 1998). In fact, estimates of 40,000 to 100,000 deaths per year attributed to errors in medical care, primarily due to adverse reactions to pharmaceuticals, make this phenomenon a major cause of death in the United States (Meyer, 2000). A tremendous

part of our method is what most separates it from previous procedures in the literature that sought to nd a working solution based on the generalized inverse alone (Riley 1955; Marquardt 1970; Searle 1971).

4.2.1 Admittance Seen by Floquet Modal Source Consider the nth Floquet modal source with unity modal voltage. Inside the region 0 < z < b (see Figure 4.1), the electromagnetic fields produced by this mode can be expressed in terms of incident and reflected fields as below: E x z = en x exp jkzn z + 1+ n

errors Variables with nonexistent coef cients will invariably have large parameter estimates, typically greater than 50, and huge standard errors, producing Wald chi-square statistics that are near zero If any of these variables is a dummy (indicator) variable, the next step is to construct the 2 2 table for each dummy variable with the outcome variable A frequency of zero in any single cell of the table implies quasi-complete separation Less commonly, if there are two diagonally opposed zeros in the table, the condition is complete separation Once you have determined which variables are causing separation problems, it is time to consider possible solutions The potential solutions are somewhat different for complete and quasi-complete separation, so I will treat them separately I begin with the more common problem of quasi-complete separation 106 SOLUTIONS FOR QUASI-COMPLETE SEPARATION 106.

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