By Michele Marchesi, Visit Amazon's Giancarlo Succi Page, search results, Learn about Author Central, Giancarlo Succi, , Don Wells, Laurie Williams, James Donovan Wells
Offers forty seven articles that symbolize the insights and functional knowledge of the leaders of the XP neighborhood. provide experience-based options for imposing XP successfully and offers winning transitioning ideas. Softcover.
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4 top-notch authors current the 1st booklet containing a catalog of object-oriented layout styles. Readers will tips on how to use layout styles within the object-oriented improvement procedure, tips on how to remedy particular layout difficulties utilizing styles, and achieve a standard vocabulary for object-oriented layout.
Provides forty seven articles that symbolize the insights and useful knowledge of the leaders of the XP group. provide experience-based strategies for enforcing XP successfully and gives winning transitioning ideas. Softcover.
Two-stage stochastic programming types are regarded as beautiful instruments for making optimum judgements less than uncertainty. routinely, optimality is formalized by means of employing statistical parameters akin to the expectancy or the conditional worth in danger to the distributions of target values. Uwe Gotzes analyzes an method of account for possibility aversion in two-stage versions established upon partial orders at the set of genuine random variables.
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Iansiti. Technology Integration: Making Critical Choices in a Dynamic World. Harvard Business School Press, 1998. [Senge1990] P. Senge. The Fifth Discipline: The Art and Practice of The Learning Organization. Currency Doubleday, 1990. I l@ve RuBoard I l@ve RuBoard About the Author This chapter is excerpted and adapted from Jim Highsmith's new book, Agile Software Development Ecosystems (Addison-Wesley, 2002). I l@ve RuBoard I l@ve RuBoard Chapter 3. Which AM Should I Use? —Michele Marchesi Copyright © 2003, Michele Marchesi.
Industry data reports that between 33 and 88 hours are spent on each defect found in the field [Humphrey1995]. When each defect saved during code development can save defect detection and correction times of between one-half and 88 hours, pair programming quickly becomes the cost-saving alternative [Williams2000]. We should also note that if time-to-market/cycle time is a prime motivator for you, pair programming can get the job done in about half the time. Could the same thing be done with two programmers working independently?
However, our research has shown that almost all programmers who bravely transition to the technique ultimately prefer it to working alone. They come to appreciate the camaraderie, the mental stimulation, and the confidence of knowing that someone else agrees with their work. The results of pair programming research can also allay the fears of managers. Pair programming can significantly benefit an organization. Pair programmers are more likely to produce a higher-quality product. Development time and cost do not increase significantly.