A Knowledge-Based Approach to Program Understanding

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

ISBN 10: 0792396057 / ISBN 13: 9780792396055

Published by Springer, 1995

About this Item

Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Seller Inventory # 907715-20

Bibliographic Details

• Title: A Knowledge-Based Approach to Program Understanding
• Publisher: Springer
• Publication Date: 1995
• Language: English
• ISBN 10: 0792396057
• ISBN 13: 9780792396055
• Binding: Hardcover
• Edition: 1995th Edition.
• Condition: Very Good
• Weight: 1.001 pounds

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.