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Study of Test Case Selection and Prioritization

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 5
Year of Publication: 2014
Authors:
Kevilienuo Kire
Neha Malhotra
10.5120/14838-3100

Kevilienuo Kire and Neha Malhotra. Article: Study of Test Case Selection and Prioritization. International Journal of Computer Applications 85(5):28-30, January 2014. Full text available. BibTeX

@article{key:article,
	author = {Kevilienuo Kire and Neha Malhotra},
	title = {Article: Study of Test Case Selection and Prioritization},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {5},
	pages = {28-30},
	month = {January},
	note = {Full text available}
}

Abstract

Software testing is very important for ensuring software quality in organizations. In fact, the quality of test suite plays an important role for the success of software testing . Ant colony optimization (ACO) which is a part of Swarm Intelligence is used to settle optimization problem. This paper attempts to provide ideas of Test Case Selection and Prioritization which Ant Colony Optimization which can be helpful for the researchers who are working on software testing. There is a great expectation in the field of Swarm Intelligence as it always comes with a challenging thought. ACO is one of such promising approaches for its application in Software Testing.

References

  • Chengying Mao, YuXinxin, Chen Jifu, Chen Jinfu (2012)"Generating Test Data for Structural Testing Based on Ant Colony Optimization "12th International Conference on Quality Software, Xi'an, Shaanxi, pp. 98 – 101.
  • Ding Rui, Feng Xianbin, Li Shuping, Dong Hongbin (2012) "Automatic Generation of Software Test Data Based on Hybrid Particle Swarm Genetic Algorithm", IEEE Symposium on Electrical & Electronics Engineering (EEESYM), Mudanjiang, Kuala Lumpur, pp. 670 – 673.
  • Gokalp Osman and Ugur Aybars (2012) " Improving Performance of ACO Algorithms Using Crossover Mechanism Based on Mean of Pheromone Tables". International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Trabzon, pp. 1 – 4.
  • Gupta Nirmal Kumar and Rohil Mukesh Kumar (2013) "Improving GA based Automated Test Data Generation Technique for Object Oriented Software", IEEE International Advance Computing Conference (IACC),Ghaziabad, pp. 249 - 253.
  • Jun Wang, Yan Zhuang, Chen Jianyun (2011) "Test Case Prioritization Technique based on Genetic Algorithm", International Conference on Internet Computing and Information Services, Hong Kong , pp. 173 – 175.
  • Karnaveland K and Santhoshkumar J (2013) "Automated Software Testing for Application Maintenance by using Bee Colony Optimization algorithms (BCO)", International Conference on Information Communication and Embedded Systems (ICICES), Chennai, pp. 327 – 330.
  • Kan Stephen H (2002). Metrics and Models in Software Quality Engineering, Second Edition, Addison Wesley.
  • Kothari, C. R (2004). Research Methodology, Methods and Techniques, 2nd Revised edition, New Age International Publisher, Jaipur, pp. 348-350.
  • Latiu Geniana Ioana, Cret Octavian Augustin, Vcariu Lucia (2012) "Automatic Test Data Generation for Software Path Testing using Evolutionary Algorithms", International Conference on Emerging Intelligent Data and Web Technologies, Bucharest, pp. 1-8.
  • Nardosdd Di Daniel, Alshahwan Nadia, Briand Lionel, Labiche Yvan (2013) "Coverage-Based Test Case Prioritization: An Industrial Case Study", IEEE Sixth International Conference on Software Testing, Verification and Validation", Luembourg, pp. 302 – 311.
  • Musa John D (2004). Software Reliability Engineering: More Reliable Software Faster and Cheaper,2nd. Edition, JWOMlNGTON, lND1ANA47403.
  • Souza Luciano S. de, Miranda Pericles B. C. de , Prudencio Ricardo B. C. , Barros Flavia de A. (2011) "A Multi-Objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort",23rd IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, FL,pp. 245 – 252.
  • Suri Bharti, Singhal Shweta (2011)" Implementing Ant Colony Optimization for Test Case Selection and Prioritization" International Journal on Computer Science and Engineering (IJCSE), India, pp. 1924-1932.
  • Suri Bharti, Singhal Shweta (2012)" Literature Survey of Ant Colony Optimization in Software Testing" CSI Sixth International Conference on Software Engineering (CONSEG), Indore, pp. 1-7.
  • Yi Minjie (2012),"The Research of path-oriented test data generation based on a mixed ant colony system algorithm and genetic algorithm", International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Shanghai , pp. 1-4.