Working Effectively with Legacy Code

Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change. Can you get nearly instantaneous feedback when you do change it. Do you understand it. If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts.In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform.with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structureThis book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.. Copyright Pearson Education. All rights reserved.

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Patterns for Parallel Programming

The Parallel Programming Guide for Every Software DeveloperFrom grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developersFinding the concurrency in a software design problem and decomposing it into concurrent tasksManaging the use of data across tasksCreating an algorithm structure that effectively exploits the concurrency you've identifiedConnecting your algorithmic structures to the APIs needed to implement themSpecific software constructs for implementing parallel programsWorking with today's leading parallel programming environments: OpenMP, MPI, and JavaPatterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.

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