Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Normal view MARC view ISBD view

Automated database applications testing [electronic resource] : specification representation for automated reasoning / Rana Farid Mikhail, Donald Berndt & Abraham Kandel.

By: Mikhail, Rana Farid.
Contributor(s): Berndt, Donald J | Kandel, Abraham.
Material type: TextTextSeries: Series in machine perception and artificial intelligence: v. 76.Publisher: Singapore ; Hackensack, NJ : World Scientific, c2010Description: 1 online resource (xiv, 195 p.) : ill.ISBN: 9789812837295 (electronic bk.); 9812837299 (electronic bk.).Subject(s): Computer software -- Testing -- Automation | Database design | Computer science | COMPUTERS -- Software Development & Engineering -- Quality Assurance & TestingGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Automated database applications testing.DDC classification: 005.1/4 Online resources: EBSCOhost
Contents:
1. Introduction. 1.1. The need for testing. 1.2. Why does software have errors? 1.3. Software testing definitions. 1.4. When should testing start in the software lifecycle? 1.5. Types of testing techniques. 1.6. UML. 1.7. Formal specification languages. 1.8. Current testing technologies and tools. 1.9. Related literature. 1.10. Objectives of this book -- 2. SpecDB : a database design for software specifications. 2.1. Introduction. 2.2. The advantages of a database representation of specifications. 2.3. The specification database design : SpecDB. 2.4. Entities for specific software requirements. 2.5. Conclusion -- 3. Representing formal specifications in SpecDB : a translation algorithm. 3.1. A translation algorithm from formal specifications to SpecDB. 3.2. Assumptions and restrictions. 3.3. Preparing for translation. 3.4. Storing formal specifications. 3.5. Conclusion -- 4. An automated constraint generator. 4.1. The design of additional tables in SpecDB. 4.2. Generating database-level constraints. 4.3. Conclusion -- 5. A reverse engineering testing tool. 5.1. Technique. 5.2. Case study. 5.3. Examples. 5.4. Conclusion -- 6. Enhancing other testing tools using SpecDB. 6.1. Using the SpecDB database to expand the testing domain. 6.2. Enhancing state validation tools. 6.3. Expanding the testing scope beyond variables and database states. 6.4. Testing different operation types. 6.5. Conclusion -- 7. Conclusion and future work. 7.1. A comparison between testing tools. 7.2. Book concepts at a glance. 7.3. Conclusion and recommendations. 7.4. Future work at a glance.
Summary: This book introduces SpecDB, an intelligent database created to represent and host software specifications in a machine-readable format, based on the principles of artificial intelligence and unit testing database operations. SpecDB is demonstrated via two automated intelligent tools. The first automatically generates database constraints from a rule-base in SpecDB. The second is a reverse engineering tool that logs the actual execution of the program from the code.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Includes bibliographical references (p. 185-192) and index.

1. Introduction. 1.1. The need for testing. 1.2. Why does software have errors? 1.3. Software testing definitions. 1.4. When should testing start in the software lifecycle? 1.5. Types of testing techniques. 1.6. UML. 1.7. Formal specification languages. 1.8. Current testing technologies and tools. 1.9. Related literature. 1.10. Objectives of this book -- 2. SpecDB : a database design for software specifications. 2.1. Introduction. 2.2. The advantages of a database representation of specifications. 2.3. The specification database design : SpecDB. 2.4. Entities for specific software requirements. 2.5. Conclusion -- 3. Representing formal specifications in SpecDB : a translation algorithm. 3.1. A translation algorithm from formal specifications to SpecDB. 3.2. Assumptions and restrictions. 3.3. Preparing for translation. 3.4. Storing formal specifications. 3.5. Conclusion -- 4. An automated constraint generator. 4.1. The design of additional tables in SpecDB. 4.2. Generating database-level constraints. 4.3. Conclusion -- 5. A reverse engineering testing tool. 5.1. Technique. 5.2. Case study. 5.3. Examples. 5.4. Conclusion -- 6. Enhancing other testing tools using SpecDB. 6.1. Using the SpecDB database to expand the testing domain. 6.2. Enhancing state validation tools. 6.3. Expanding the testing scope beyond variables and database states. 6.4. Testing different operation types. 6.5. Conclusion -- 7. Conclusion and future work. 7.1. A comparison between testing tools. 7.2. Book concepts at a glance. 7.3. Conclusion and recommendations. 7.4. Future work at a glance.

This book introduces SpecDB, an intelligent database created to represent and host software specifications in a machine-readable format, based on the principles of artificial intelligence and unit testing database operations. SpecDB is demonstrated via two automated intelligent tools. The first automatically generates database constraints from a rule-base in SpecDB. The second is a reverse engineering tool that logs the actual execution of the program from the code.

Description based on print version record.

There are no comments for this item.

Log in to your account to post a comment.

Other editions of this work

Automated database applications testing by Mikhail, Rana Farid. ©2010
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter