Automated Database Applications Testing: Specification by Rana Rarid Mikhail, Donald Berndt, Abraham Kandel
By Rana Rarid Mikhail, Donald Berndt, Abraham Kandel
This e-book introduces SpecDB, an clever database created to symbolize and host software program requisites in a machine-readable structure, in accordance with the foundations of man-made intelligence and unit checking out database operations. SpecDB is validated through automatic clever instruments. the 1st immediately generates database constraints from a rule-base in SpecDB. the second one is a opposite engineering software that logs the particular execution of this system from the code.
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Additional info for Automated Database Applications Testing: Specification Representation for Automated Reasoning
The advantage of this approach is to automatically test programmed software, giving the actual behavior for each operation. The analysts, designers and testers can then review all the software execution results, hence showing faults of commission that might not otherwise be spotted by normal testing techniques that deem a test successful if the specified behavior occurs. However, in some cases, the software errors lie in the fact that the programmed software does more than is specified. For example, an e-commerce application might perform its task of ordering an item, and also (as an unwanted side effect) send credit card information or passwords to another non-secure location!
Accordingly, as a preparation stage for representing the specifications in SpecDB, unique dataflow numbers are given to operations in the (formal) specifications. Accordingly, SpecDB assumes that the program is numbered. Every line of the (formal) specification of a software as well as every line of code generated is given a unique serial number. SpecDB assumes that every line of code is a simple program statement, unnecessary bundling of code or specification on the same line is forbidden in this representation, to simplify the representation and enhance readability from SpecDB by automated tools.
3, automatic constraints generator and the reverse engineering testing tool, respectively. 4, enhancements to available tools in the literature like AGENDA, using SpecDB are proposed. 10. Objectives of this Book Fig. 1 Introduction From the market survey of existing testing tools in Chapter 1, it was concluded that the current automated tools in the market lack an understanding of the functionality of the software under construction and testing. The literature review also showed how much of the research on automated tools can benefit from machine-readable specifications, which can reason with the specifications and automatically generate intelligent test cases and automatically determine whether the software passed the test based on its understanding of the specifications and design.