NDLI: An approach to design test oracle for aspect oriented software systems using soft computing approach

Content Provider	Springer Nature Link
Author	Singhal, Abhishek Bansal, Abhay Kumar, Avadhesh
Copyright Year	2015
Abstract	Software testing is one of the most important process in the software development life cycle, since it ensures the delivery of good quality software to the user. In order to make this process more efficient, automated testing is required. Automated testing offers the advantages of reduced cost and time and it is also more reliable than manual means. In automated testing, test oracle process is required to test software applications. The software applications developed using aspect oriented programming paradigm can also be tested using automated testing. Aspect oriented programming offers the advantages over object oriented programming paradigm by centralizing various cross cutting concerns in a software code, thereby improving the modularity of the code. Since the crosscutting concern is separated into a single module, maintenance of such systems becomes easy. In this paper, the artificial neural network approach is used for testing the aspect oriented programming applications by developing test oracle.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISSN	09756809
Journal	International Journal of System Assurance Engineering and Management
Volume Number	7
Issue Number	1
e-ISSN	09764348
Language	English
Publisher	Springer India
Publisher Date	2015-12-01
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Software testing Automated testing Test oracle process Aspect oriented programming Artificial neural network Object oriented programming Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type	Text
Resource Type	Article
Subject	Strategy and Management Safety, Risk, Reliability and Quality

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