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The design documents may not fully re ect the source code; these designs may not have been updated as the requirements changed or as implementation problems drove the design away from the theoretical position adopted at the beginning We have to provide some basic information relevant to the maintenance team that is reliable, understandable, and complete, as far as is possible It is assumed that the requirements documents and user stories will be available These are numbered and organized in a systematic way The system metaphor and overall software architecture should also be present and should match the actual system This is easier to achieve than trying to relate everything to a large design that may not have been updated during the development of the system because of the need to solve unforeseen problems in implementation, the changes to the requirements, and so forth. 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This is not easy, because it demands that a highly skilled indexer be intimately familiar with all the features of the program. It may be easier to rework the interface to improve it than to create a really good index. The list of index entries is arguably more important than the text of the entries themselves. A user will forgive a poorly written entry with more alacrity than he will forgive a missing entry. The index must have as many synonyms as possible for topics. Prepare for it to be huge. A user who needs to solve a problem will be thinking How do I turn this cell black not How can I set the shading of this cell to 100% If the entry is listed under shading, the index fails the user. The more goaldirected your thinking is, the better the index will map to what might possibly pop into a user s head when he is looking for something. An index model that works is the one in The Joy of Cooking by Irma S. Rombaur and Marion Rombaur Becker. That index is one of the most complete and robust of any we have used.Related: Coupling and Cohesion Coupling and cohesion are metrics that (roughly) describe how easy it will be to change the behavior of some code They were described by Larry Constantine in [Yourdon79] Elements are coupled if a change in one forces a change in the other For example, if two classes inherit from a common parent, then a change in one class might require a change in the other Think of a combo audio system: It s tightly coupled because if we want to change from analog to digital radio, we must rebuild the whole system If we assemble a system from separates, it would have low coupling and we could just swap out the receiver Loosely coupled features (ie, those with low coupling) are easier to maintain An element s cohesion is a measure of whether its responsibilities form a meaningful unit For example, a class that parses both dates and URLs is not coherent, because they re unrelated concepts Think of a machine that washes oth clothes and dishes it s unlikely to do both well2 At the other extreme, a class that parses only the punctuation in a URL is unlikely to be coherent, because it doesn t represent a whole concept To get anything done, the programmer will have to nd other parsers for protocol, host, resource, and so on Features with high coherence are easier to maintain. ocr library pythonOCR Machine Learning in python. 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