NDLI: Test case selection and prioritization using cuckoos search algorithm

Content Provider	IEEE Xplore Digital Library
Author	Nagar, R. Kumar, A. Singh, G.P. Kumar, S.
Copyright Year	2015
Description	Author affiliation: Comput. Sci. & Eng. Dept., Shivdan Singh Inst. of Technol. & Manage., Aligarh, India (Kumar, S.) \|\| Comput. Sci. & Eng. Dept., Aligarh Coll. of Eng. & Technol., Aligarh, India (Nagar, R.; Singh, G.P.) \|\| Pitney Bowes Software, Noida, India (Kumar, A.)
Abstract	Regression Testing is an inevitable and very costly activity that is implemented to ensure the validity of new version of software in a time and resource constrained environment. Execution of entire test suite is not possible so it is necessary to apply techniques like Test Case Selection and Test Case Prioritization for proper selection and schedule of test cases in a specific sequence, fulfilling some chosen criteria. Cuckoo search (CS) algorithm is an optimization algorithm proposed by Yang and Deb [13]. It is inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds. Cuckoo Search is very easy to implement as it depends on single parameter only unlike other optimization algorithms. In this paper a test case selection and prioritization algorithm has been proposed using Cuckoo Search. This algorithm selects and prioritizes the test cases based on the number of faults covered in minimum time. The proposed algorithm is an optimistic approach which provides optimum best results in minimum time.
Starting Page	283
Ending Page	288
File Size	304393
Page Count	6
File Format	PDF
e-ISBN	9781479984336
DOI	10.1109/ABLAZE.2015.7155012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Levy Flight Software algorithms Sociology Artificial Intelligence Cuckoos Search Regression Test Selection Software Statistics Optimization Test Case Prioritization Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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