Large-Scale C++ Software Design (APC)
KRW 152444
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The definitive book for all C++ software professionals involved in large development efforts.
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제품 세부 정보
| Publisher | Addison-Wesley Longman, Amsterdam |
| Publication date | 1 Jun. 1996 |
| Edition | 1st |
| Language | English |
| Print length | 896 pages |
| ISBN-10 | 0201633620 |
| ISBN-13 | 978-0201633627 |
| Dimensions | 23.47 x 19 x 3.3 cm |
제품 설명
Large-Scale C++ Software Design (APC)
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English edition John Lakos Format: Paperback Editorial Review
Large-Scale C++ Software Design APC offers an in-depth exploration into creating reusable classes in C++. The book is highly praised for addressing often-ignored topics such as the distinction between logical and physical design, which is invaluable for anyone aiming to write stable software. Reviewers appreciate Lakos's pragmatic guidance derived from real-world programming experience, emphasizing crucial concepts like Cumulative Component Dependency and architectural design principles. Although some readers found the organization of topics to be somewhat lacking, they nonetheless recommend this book for its comprehensive coverage and practical insights applicable beyond C++. Whether you're a novice or an experienced developer, this book provides key strategies for effective software design.
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장점
- Offers insightful guidance on class design and reuse
- Addresses overlooked programming concepts clearly
- Provides practical advice from real-world applications
- Covers Cumulative Component Dependency in detail
- Applicable principles extend to various programming languages
단점
- Organization of topics may feel a bit disjointed
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특징 및 장점
- First C++ book demonstrating how to design large systems
- Explains decomposing large systems into physical hierarchies of smaller components
- Focuses on eliminating physical dependencies for easier maintenance and reusability
- Catalog of techniques provided to eliminate cyclic and compile-time dependencies
- Comprehensive top-down approach to logical design of individual components
- Appendices include valuable design patterns for system scalability
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