Research on Automated Software Test Case Generation

2014 ◽  
Vol 9 (11) ◽  
Author(s):  
Daisen Wei ◽  
Longye Tang ◽  
Xueqing Li ◽  
Ling Shang
2013 ◽  
Vol 86 (8) ◽  
pp. 1978-2001 ◽  
Author(s):  
Saswat Anand ◽  
Edmund K. Burke ◽  
Tsong Yueh Chen ◽  
John Clark ◽  
Myra B. Cohen ◽  
...  

2011 ◽  
Vol 5 (3) ◽  
pp. 91-101 ◽  
Author(s):  
M.R. Keyvanpour ◽  
H. Homayouni ◽  
Hasein Shirazee

Author(s):  
Kamalendu Pal

Agile methodologies have become the preferred choice for modern software development. These methods focus on iterative and incremental development, where both requirements and solutions develop through collaboration among cross-functional software development teams. The success of a software system is based on the quality result of each stage of development with proper test practice. A software test ontology should represent the required software test knowledge in the context of the software tester. Reusing test cases is an effective way to improve the testing of software. The workload of a software tester for test-case generation can be improved, previous software testing experience can be shared, and test efficiency can be increased by automating software testing. In this chapter, the authors introduce a software testing framework (STF) that uses rule-based reasoning (RBR), case-based reasoning (CBR), and ontology-based semantic similarity assessment to retrieve the test cases from the case library. Finally, experimental results are used to illustrate some of the features of the framework.


Author(s):  
Vladimir Tarasov ◽  
He Tan ◽  
Anders Adlemo ◽  
Anders Andersson ◽  
Ismail Muhammad ◽  
...  

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