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It provides proven solutions to the everyday problems facing information systems developers.More on Steve Mc Connell Features the best practices in the art and science of constructing software--topics include design, applying good techniques to construction, eliminating errors, planning, managing construction activities, and relating personal character to superior software. (Intermediate) More on Martin Fowler, Kent Beck Users can dramatically improve the design, performance, and manageability of object-oriented code without altering its interfaces or behavior. Ritchie Introduces the features of the C programming language, discusses data types, variables, operators, control flow, functions, pointers, arrays, and structures, and looks at the UNIX system interface More on Kent Beck Write clean code that works with the help of this groundbreaking software method.The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming.

The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming.The third edition has been revised and updated throughout.It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices.agileartificial-intelligenceassemblycc#compiler-constructioncomputer-sciencecssdatabase-designembeddedgraphicshtmlimage-processingjavajavascriptmachine-learningmathnetworkingoperating-systemoracleproject-managementrresearchsqluml Michael C. Feathers The average book on Agile software development describes a fairyland of greenfield projects, with wall-to-wall tests that run after every few edits, and clean & simple source code.The average software project, in our industry, was written under some aspect of code-and-fix, and without automated unit tests.

The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming.The third edition has been revised and updated throughout.It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices.agileartificial-intelligenceassemblycc#compiler-constructioncomputer-sciencecssdatabase-designembeddedgraphicshtmlimage-processingjavajavascriptmachine-learningmathnetworkingoperating-systemoracleproject-managementrresearchsqluml Michael C. Feathers The average book on Agile software development describes a fairyland of greenfield projects, with wall-to-wall tests that run after every few edits, and clean & simple source code.The average software project, in our industry, was written under some aspect of code-and-fix, and without automated unit tests.And we can't just throw this code away; it represents a significant effort debugging and maintaining. Just as Agile processes are incremental, Agile adoption must be incremental too.