M. Harman and P. McMinn, “A Theoretical & Empirical Analysis of Evolutionary Testing and Hill Climbing for Structural Test Data Generation,” Proceedings of the 2007 International Symposium on Software Testing and Analysis, London, 9-12 July 2007, pp. 73-83. doi:10.1145/1273463.1273475

has been cited by the following article:

• TITLE: Using Genetic Algorithm as Test Data Generator for Stored PL/SQL Program Units

  AUTHORS: Mohammad A. Alshraideh, Basel A. Mahafzah, Hamzeh S. Eyal Salman, Imad Salah

  KEYWORDS: Genetic Algorithms; SQL Stored Program Units; Test Data; Structural Testing; SQL Exceptions

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.2, February 28, 2013

  ABSTRACT: PL/SQL is the most common language for ORACLE database application. It allows the developer to create stored program units (Procedures, Functions, and Packages) to improve software reusability and hide the complexity of the execution of a specific operation behind a name. Also, it acts as an interface between SQL database and DEVELOPER. Therefore, it is important to test these modules that consist of procedures and functions. In this paper, a new genetic algorithm (GA), as search technique, is used in order to find the required test data according to branch criteria to test stored PL/SQL program units. The experimental results show that this was not fully achieved, such that the test target in some branches is not reached and the coverage percentage is 98%. A problem rises when target branch is depending on data retrieved from tables; in this case, GA is not able to generate test cases for this branch.