Ali Raza, Stephen Clyde

Creating Datasets for Testing Relational Databases

Test-data Exaction and Comparison with Test-data Generation

• Broschiertes Buch

Produktbeschreibung

Testing of database-intensive applications has unique challenges that stem from hidden dependencies, subtle differences in data semantics, target database schemes, and implicit business rules. These challenges become even more difficult when the application involves integrated and heterogeneous databases or confidential data. Proper test-data that simulate real-world data problems are critical to achieving reasonable quality benchmarks for functional input-validation, load, performance, and stress testing. In general, techniques for creating test-data fall in two broad areas, namely, test-data generation and test-data extraction, that differ significantly in their basic approach, run-time performance, and the types of data they create. Test-data generation relies on generation rules, grammars, and pre-defined domains to create data from scratch. Test-data extraction takes sample data from existing production databases and manipulates that data for testing purposes, while trying to maintain the natural characteristics of the data. This title provides novel test-data extraction techniques and compares it with competing test-data generation.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Aufl.
• Seitenzahl: 188
• Erscheinungstermin: 13. Januar 2012
• Englisch
• Abmessung: 220mm x 150mm x 12mm
• Gewicht: 298g
• ISBN-13: 9783847337638
• ISBN-10: 3847337637
• Artikelnr.: 35464715

Autorenporträt

Raza received an MS (Computer Science) from Utah State University and has several years of software development experience. His primary interests are Object-oriented Software Engineering, Software Testing and Relational Databases. When not writing or reading about his interest, he likes to play table tennis and traveling.