Automated database applications testing :: specification representation for automated reasoning /
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 auto...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore ; Hackensack, NJ :
World Scientific,
©2010.
|
| Series: | Series in machine perception and artificial intelligence ;
v. 76. |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| 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. |
| Physical Description: | 1 online resource (xiv, 195 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 185-192) and index. |
| ISBN: | 9789812837295 9812837299 |
Staff View
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| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
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| 650 | 7 | |a Database design |2 fast | |
| 700 | 1 | |a Berndt, Donald J. | |
| 700 | 1 | |a Kandel, Abraham. | |
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| 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. |
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| id | ZDB-4-EBA-ocn670429608 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:37:01Z |
| institution | BVB |
| isbn | 9789812837295 9812837299 |
| language | English |
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| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | World Scientific, |
| record_format | marc |
| series | Series in machine perception and artificial intelligence ; |
| series2 | Series in machine perception and artificial intelligence ; |
| spelling | Mikhail, Rana Farid. Automated database applications testing : specification representation for automated reasoning / Rana Farid Mikhail, Donald Berndt & Abraham Kandel. Singapore ; Hackensack, NJ : World Scientific, ©2010. 1 online resource (xiv, 195 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Bibliography Series in machine perception and artificial intelligence ; v. 76 Includes bibliographical references (pages 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. Print version record. Computer software Testing Automation. Database design. http://id.loc.gov/authorities/subjects/sh88004472 Bases de données Conception. COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Database design fast Berndt, Donald J. Kandel, Abraham. Print version: Mikhail, Rana Farid. Automated database applications testing. Singapore ; Hackensack, NJ : World Scientific, ©2010 9789812837288 (DLC) 2010286698 (OCoLC)277200973 Series in machine perception and artificial intelligence ; v. 76. http://id.loc.gov/authorities/names/n91107585 |
| spellingShingle | Mikhail, Rana Farid Automated database applications testing : specification representation for automated reasoning / Series in machine perception and artificial intelligence ; 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. Computer software Testing Automation. Database design. http://id.loc.gov/authorities/subjects/sh88004472 Bases de données Conception. COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Database design fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88004472 |
| title | Automated database applications testing : specification representation for automated reasoning / |
| title_auth | Automated database applications testing : specification representation for automated reasoning / |
| title_exact_search | Automated database applications testing : specification representation for automated reasoning / |
| title_full | Automated database applications testing : specification representation for automated reasoning / Rana Farid Mikhail, Donald Berndt & Abraham Kandel. |
| title_fullStr | Automated database applications testing : specification representation for automated reasoning / Rana Farid Mikhail, Donald Berndt & Abraham Kandel. |
| title_full_unstemmed | Automated database applications testing : specification representation for automated reasoning / Rana Farid Mikhail, Donald Berndt & Abraham Kandel. |
| title_short | Automated database applications testing : |
| title_sort | automated database applications testing specification representation for automated reasoning |
| title_sub | specification representation for automated reasoning / |
| topic | Computer software Testing Automation. Database design. http://id.loc.gov/authorities/subjects/sh88004472 Bases de données Conception. COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Database design fast |
| topic_facet | Computer software Testing Automation. Database design. Bases de données Conception. COMPUTERS Software Development & Engineering Quality Assurance & Testing. Database design |
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