Advances in Computers, Vol. 59 by Marvin Zelkowitz (Ed.)

By Marvin Zelkowitz (Ed.)

When you consider that 1960, Advances in desktops has chronicled the consistently transferring theories and strategies of knowledge know-how which enormously shapes our lives at the present time This quantity, the 59th within the sequence, offers basic topics. the 1st four papers speak about software use in constructing software program - how teams interact to supply a product, and why the very industries that want them frequently don't undertake such instruments. The 5th paper addresses a present factor - cache coherence. As we construct swifter machines, how to elevate functionality is to have a number of CPUs engaged on fixing a similar challenge. This calls for or extra CPUs to deal with an identical reminiscence whilst. The cache coherence challenge is the best way to let either machines to entry an analogous reminiscence with out "stepping on each one others feet" in order that reminiscence will get misplaced or corrupted *In intensity surveys and tutorials on new desktop expertise *Well-known authors and researchers within the box *Broad evaluate of many very important advancements *Extensive bibliographies with so much chapters *Four out of five chapters concentrate on software program developemnt know-how and may attract a software program improvement association or a school path on software program improvement practices

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Extra resources for Advances in Computers, Vol. 59

Sample text

Open Issues and Future Work . . . . . . . . . 1. Future Work . . . . . . . . . . . . Conclusions . . . . . . . . . . . . . . Acknowledgements . . . . . . . . . . . . References . . . . . . . . . . . . . . 1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

The cycle advocates cases first being retrieved from a case base, which ensures knowledge use as shown in Fig. 1. The best choice is then chosen and revised or otherwise adapted to the current problem setting. Then the newly adapted case is stored to accumulate the new experiences gained. 2 Domain Abstractions and Domain Analysis One problem with a case-based approach to software development is that cases tend to represent isolated problems that need to be adapted from one set of specifics to another.

The “domain” does not necessarily need to be a family of applications or a formal model, but a set of problems within 40 S. HENNINGER applications with recurring activities and/or work products [89]. As patterns emerge, top-down domain analysis methods can be used to formalize the patterns, facilitating domain evolution from the identification of isolated patterns to formally defined domain knowledge. Identifying established patterns of system artifacts reduces the risk of costly domain analysis efforts by ensuring that the cost of analysis can be amortized over many uses.

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