Knowledge-Based Approach to Program Understanding

Abd-El-Hafiz, Salwa K.; Basili, Victor R.

ISBN 10: 0792396057 / ISBN 13: 9780792396055

Published by Kluwer Academic Publishers, 1995

About this Item

Presents a knowledge-based approach to the automation of program understanding that plays an important role in various software related tasks. This book is suitable for computer science students at the advanced graduate level and researchers and practitioners interested in software development, maintenance and re-use. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 136 pages, biography. BIC Classification: UMZ; UYQE. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 9. Weight in Grams: 377. . 1995. Hardback. . . . .

Seller Inventory # V9780792396055

Bibliographic Details

• Title: Knowledge-Based Approach to Program Understanding
• Publisher: Kluwer Academic Publishers
• Publication Date: 1995
• Language: English
• ISBN 10: 0792396057
• ISBN 13: 9780792396055
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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. Several development activities such as code reviews, debugging and some testing approaches require programmers to read and understand programs. Maintenance activities cannot be performed without a deep and correct understanding of the component to be maintained. Program understanding is vital to the reuse of code components because they cannot be utilized without a clear understanding of what they do. If a candidate reusable component needs to be modified, an understanding how it is designed is also required. of This monograph presents a· knowledge-based approach to the automation of program understanding. This approach generates rigorous program documentation mechanically by combining and building on strengths of a practical program decomposition method, the axiomatic correctness notation, and the knowledge­ based analysis approaches. More specifically, this approach documents programs by generating first order predicate logic annotations of their loops. In this approach, loops are classified according to their complexity levels. Based on this taxonomy, variations on the basic analysis approach that best fit each of the different classes are described. In general, mechanical annotation of loops is performed by first decomposing them using data flow analysis. This decomposition encapsulates interdependent statements in events, which can be analyzed individually.