Automated Test Data Generation via Path Table

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Research areas:
Year:
2012
Type of Publication:
Article
Keywords:
Independent feasible path, Scalability, Equivalence class
Authors:
Ashif Ali; Jana Shafi
Journal:
IJAIM
Volume:
1
Number:
1
Pages:
52-58
Month:
December
ISSN:
2320-5121
Abstract:
Automated Test Data Generation (ATDG) is an activity that in the course of software testing automatically generates test data for the software under test (SUT). It usually makes the testing more efficient and cost effective. Test Data Generation (TDG) is crucial for software testing because test data is one of the key factors for determining the quality of any software test during its execution. The multi-phased activity of ATDG involves various techniques for each of its phases. Today testing is done manually by most of the industry due to high cost and complexity of automation. Automated testing can reduce the cost of software significantly. Automated Software Test Data Generation is an activity that in the course of software testing automatically generates test data for the software under test. Most of the automated test data generation uses constraint solver to generate test data. But it cannot generate test data when the constraints are not solvable. Although method can be found to generate test data even if the constraints are unsolvable, but it is poor in terms of code coverage. Automated testing is a good way, to cut down time and cost of software development. It is seen that for large software projects 40% to 70% of development time is spent on testing. Therefore automation is very much necessary. Test automation is a process of writing computer programs that can generate test cases, or else test cases need to be generated manually. Automated testing save time, money. In this paper, we propose a test data generation method as our aim is to improve test coverage and to avoid the unsolvable constraint problem. Our method is based on the individual constraints, and same or dependent variable to create the path table which holds the information about the path traversed by various input test data. We have implemented this method and shown alongwith also sample program. The result is generated in the form of table of test cases and cause –effect graph.
Full text: IJAIM-14 Final.pdf

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