|Author:||Victor R. Basili,Salwa K. Abd-El-Hafiz|
|Title:||A Knowledge-Based Approach to Program Understanding (The Springer International Series in Engineering and Computer Science)|
|Format:||lit mbr azw txt|
|ePUB size:||1146 kb|
|FB2 size:||1992 kb|
|DJVU size:||1412 kb|
|Publisher:||Springer; 1995 edition (July 31, 1995)|
Salwa K. Abd-El-Hafiz, Victor R. Basili. Overview and Basic Definitions. Salwa K. Authors and affiliations. Abd-El-Hafiz.
Электронная книга "A Knowledge-Based Approach to Program Understanding", Salwa K. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "A Knowledge-Based Approach to Program Understanding" для чтения в офлайн-режиме.
A Knowledge-Based Approach to Program Understanding. by Victor R. Basili and Salwa K. Program understanding plays an important role in nearly all software related tasks. It is vital to the development, maintenance and reuse activities. Program understanding is indispensable for improving the quality of software development.
The knowledge-based approach to the automation of program understanding presented here plays an important role in nearly all software related tasks: it is vital to the development, maintenance and re-use activities, and is indispensable in improving the quality of software development. Saved in: Main Author: Abd-El-Hafiz, Salwa K. Other Authors
Topics covered include architectural aspects, aspects requiring coordination among caches, aspects related to network traffic, techniques that complement caching, practical aspects, and aspects related to performance.
Salwa K. ABD-EL-HAFIZ Dept. of Engineering Mathematics, Cairo University, Giza, Egypt. Victor R. BASILI, 1940-, Institute for Advanced Computer Studies, University of Maryland, College Park, USA. Series: Kluwer International Series in Engineering and Computer Science, Volume 325. Publisher : Kluwer Academic Publishers - Boston. The knowledge-based approach to the automation of program understanding presented here plays an important role in nearly all software related tasks: it is vital to the development, maintenance and re-use activities, and is indispensable in improving the quality of software development. The approach described generates rigorous program documentation mechanically by combining and building on the strengths of a practical program decomposition method, the axiomatic correctness notation, and the knowledge-based analysis approach.
The book discusses them in some detail from the viewpoints of software engineering, distributed systems principles, and real-time system development. These problems are organization, observability, reproducibility, the host/target approach, environment simulation, and (test) representativity.
This book is focused on neural-based intelligent information processing systems with the use of smart VLSI design and optimization. The purely-digital signal conditioning approach can be performed in a multiprocessor design with various interconnection schemes such as 1-D systolic array or 2-D mesh configuration. This approach can support very high precision. However, the number of signal processors is quite small as compared to that in the analog design approach.
Another companion to this book (published by Kluwer), subtitled Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book subtitled System Implementation, these approaches demonstrate how dependability may be tuned to the requirements of an application, the fault environment, and the characteristics of the target platform. Database Systems: A Practical Approach to Design, Implementation, and Management (International Computer Science Series).
20Michael, -%20(ience)rcuits%20(1993, Springer)%20(200s)%. 342025 Andreas Albrecht, Kathleen Steinhöfel - (Lecture Notes in Computer Science 2827) Stochastic Algorithms: Foundations and Applications: Second International Symposium, SAGA 2003, Hatfield, UK, September 22-23, 2003,.