International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1393
3
1
gregorian
2014
6
1
6
2
online
1
fulltext
fa
Automatic Test Case Generation for Modern Web Applications Using Population-Based Automatic Fuzzy Neural Network
فناوری اطلاعات
Information Technology
پژوهشي
Research
Automatic test case generation is an approach to decrease cost and time in software testing. Although there have been lots of proposed methods for automatic test case generation of web applications, there still exists some challenges which needs more researches. The most important problem in this area is the lack of a complete descriptive model which indicates the whole behaviors of web application as guidance for the generation of test cases with high software coverage. In this paper, test cases are generated automatically to test web applications using a machine learning method. The proposed method called RTCGW (Rule-based Test Case Generator for Web Applications) generates test cases based on a set of fuzzy rules that try to indicate the whole software behaviors to reach to a high level of software coverage. For this purpose a novel machine learning approach based on fuzzy neural networks is proposed to extract fuzzy rules from a set of data and then used to generate a set of fuzzy rules representing software behaviors. The fuzzy rule set is then used to generate software test cases and the generated test cases are optimized using an optimization algorithm based on combination of genetic and simulated annealing algorithms. Two benchmark problems are tested using the optimized test cases. The results show a high level of coverage and performance for the proposed method in comparison with other methods.
Automatic Test case generation, web applications, population-based Fuzzy Neural Network
29
40
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-102&slc_lang=fa&sid=1
Mohammad Reza
Keyvanpour
1003194753284600315
1003194753284600315
Yes
Hajar
Homayouni
1003194753284600316
1003194753284600316
No