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Articles

Reducing interactive fault proneness in software application using genetic algorithm based optimal directed random testing

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Pages 296-305 | Received 22 Jul 2017, Accepted 13 Dec 2017, Published online: 19 Jan 2018

References

  • Zhou ZQ , Sinaga A , Susilo W . On the fault-detection capabilities of adaptive random test case prioritization: case studies with large test suites. In: Hawaii International Conference on System Sciences; Maui, HI; 2012. p. 5584–5593.
  • Niu X , Wang Y , Wu D . A method to generate random number for cryptographic application. In: Proceeding of International Conference on Intelligent Information Hiding and Multimedia Signal Processing; Kitakyushu, Japan; 2014. p. 235–238.
  • Dionisio J , Mota T , Pinto I , et al . Real time random number generator testing. In: Conference on Electronics, Telecommunications and Computers. Vol. 17; London; 2014. p. 534–541.
  • Malpani P , Bassi P . Analytical & empirical analysis of external sorting algorithms. In: International Conference on Data Mining and Intelligent Computing; 2014. p. 1–6.
  • Tahbildar H , Kalita B . Automated software test data generation: direction of research. Int J Comput Sci Eng Survey (IJCSES). 2011 Feb;2(1):99–120.10.5121/ijcses
  • McMinn, P . An identification of program factors that impact crossover performance in evolutionary test input generation for the branch coverage of C programs. Inf Softw Technol. 2013;2.1:153–172.
  • Fraser, G , Arcuri A , McMinn P . A memetic algorithm for whole test suite generation. J Syst Softw. 2014:1–36.
  • Galeotti JP , Fraser G , Arcuri A . Improving search-based test suite generation with dynamic symbolic execution. In: proceeding of IEEE International Symposium on Software Reliability Engineering (ISSRE); Paris, Beijing; 2013. p. 360–369.
  • Darab MAD Chang CK Black-box test data generation for GUI testing. In: Proceeding of IEEE International Conference on Quality Software; 2014. p. 133–138.
  • Kempka J , McMinn P , Sudholt D . A theoretical runtime and empirical analysis of different alternating variable searches for search-based testing. Proceedings of Conference on Genetic and Evolutionary Computation Conference; Dublin: ACM; 2013.10.1145/2463372
  • PutuEdy I , Putra S , Mursanto P . Centroids based adaptive random testing for object oriented program. In: Proceeding of IEEE International Conference on Advanced Computer Science and Information Systems; 2013; Indonesia. p. 39–45.
  • Chow C , Chen TY , Tse TH . The ART of divide and conquer an innovative approach to improving the efficiency of adaptive random testing. In: Proceeding of IEEE International Conference on Quality Software; 2013; Nanjing. p. 268–275.
  • Arts T , Gerdes A , Kronqvist M . Requirements on automatically generated random test cases. In: Proceedings of IEEE Federated Conference on Computer Science and Information Systems; 2013; Poland. p. 1347–1354.
  • SA Khan , Nadeem A . Automated test data generation for coupling based integration testing of object oriented programs using evolutionary approaches. In: International Conference on Information Technology; 2013. p. 369–374.
  • Campos J , Abreu R , Fraser G , et al . Entropy-based test generation for improved fault localization. In: IEEE International Conference on Automated Software Engineering (ASE); 2013; USA. p. 257–267.
  • Bo Yu , Pang Zeliang . Generating test data based on improved uniform design strategy. Int Conf Solid State Dev Mater Sci. 2012;25:1245–1252.
  • Padgham L , Zhang Z , Thangarajah J , et al . Model-based test oracle generation for automated unit testing of agent systems. IEEE Trans Softw Eng. 2013;39(9):1230–1244.10.1109/TSE.2013.10
  • Ahmed BS , Sahib MA , Potrus MY . Generating combinatorial test cases using Simplified Swarm Optimization (SSO) algorithm for automated GUI functional testing. Int J Eng Sci Technol. 2014;17:218–226.10.1016/j.jestch.2014.06.001
  • Arcuri A , Briand L . Formal analysis of the probability of interaction fault detection using random testing. IEEE Trans Softw Eng. 2012;38(5):1088–1099.10.1109/TSE.2011.85
  • Koteswara Rao K , Raju GSVP , Nagaraj S . Optimizing the software testing efficiency by using a genetic algorithm: a design methodology. ACM SIGSOFT Softw Eng Notes 2013;38(3):1–5.
  • Koteswara Rao K , Raju GSVP . Developing optimal directed random testing technique to reduce interactive faults-systematic literature and design methodology. Indian J Sci Technol. 2015;8(8):715–719.
  • Koteswara Rao, K , Raju GSVP . Theoretical investigations to random testing variants and its implications. Int J Softw Eng Appl. 2015;9(5):165–172.10.14257/ijseia
  • Kumar, JR , Koteswara Rao K , Ganesh D. Empirical investigations to find illegal and its equivalent test cases using RANDOM-DELPHI. Int J Softw Eng Appl. 2015;9(11):107–116.10.14257/ijseia
  • Koteswara Rao, K , Raju GSVP . Random testing: the best coverage technique-an empirical proof. Int J Softw Eng Appl. 2015;9(12):115–122.10.14257/ijseia
  • Koteswara Rao, K , Nagaraj, S , Ahuja, J , et al . Measuring the function points from the points of relationships of UML. ICCEE 2008, International Conference on Computer and Electrical Engineering; Phuket: IEEE; 2008.

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