Inconsistency Management in Software Functional Requirements

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Details

This book propose a general integrated model which uses machine learning system (Inductive Learning Algorithm) ILA for managing inconsistencies in software functional requirements which may arise in different stages of development process. This model provides a systematic approach for managing inconsistency from early stages till the end of development process with greater solution accuracy, greater coverage of problems, reducing the time of accomplishing the work and making it more intelligent by using previous experiences, discovering new patterns to perform pattern analysis and transferring it to rules which will help in managing inconsistencies more efficiently and effectively, also will help in solving many problems such as enhancing the shared understanding of the development team, directing the development process and assisting the process of verification and validation. This model will help developers to know the number and severity of inconsistencies in their descriptions and how various changes that they make, affect these measures and if they can measure the effectiveness of development process, its degree of progress, its performance and the reliability of the product.

Autorentext

Dr. Randa Ali Numan Khaldi was born in Jordan. She received her BA in Computer engineering from former Soviet Union, her Master degree in Information Technology, and obtained PhD in Computer Information Systems both from Jordan and with excellence. She served in many positions as Assistant Prof., IT Consultant and as Director of IT Center.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783847320395
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B220mm
    • Jahr 2012
    • EAN 9783847320395
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-8473-2039-5
    • Titel Inconsistency Management in Software Functional Requirements
    • Autor Randa Al-Khaldi
    • Untertitel A Machine Learning System
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 204
    • Genre Informatik

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