2016
DOI: 10.5120/ijca2016910610
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A New Method to Optimize the Reliability of Software Reliability Growth Models using Modified Genetic Swarm Optimization

Abstract: Software reliability is one of the key attributes to determine

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Cited by 6 publications
(5 citation statements)
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“…Frequently unwavering quality issue happens with programming frameworks. A portion of the arrangement methods for dependability issues are proposed in [6][7][8][9] Some of the normally utilized benchmarks for the age of engineered outstanding tasks at hand are RUBiS, Cloud Stone, TPC-W. Be that as it may, RUBiS and TPC-W the two benchmarks are obsolete, yet these benchmarks are as yet utilizing in the examination region.…”
Section: Application Benchmark'smentioning
confidence: 99%
“…Frequently unwavering quality issue happens with programming frameworks. A portion of the arrangement methods for dependability issues are proposed in [6][7][8][9] Some of the normally utilized benchmarks for the age of engineered outstanding tasks at hand are RUBiS, Cloud Stone, TPC-W. Be that as it may, RUBiS and TPC-W the two benchmarks are obsolete, yet these benchmarks are as yet utilizing in the examination region.…”
Section: Application Benchmark'smentioning
confidence: 99%
“…Mallikharjuna and K. Anuradha [10] in 2016 investigated the improvement and application of Modified Genetic Swarm Optimization algorithm to optimize the parameters of SRGM TEF. In the same year, Alaa and Amal [11] explored the algorithm of Grey Wolf Optimization (GWO) in estimating the parameters value of SRGMs, the goal is reducing the difference between the estimated and the actual number of the software system failures.…”
Section: Related Studiesmentioning
confidence: 99%
“…Goel-Okumoto Model(Goel_O) [13], Gomperts Model(Gomperts) [3], Inflection S-Shaped Model(Inflection_S-S) [10], Logistic Growth Model(Logistic_G) [3], Modified Duane Model(Modified_D) [14], Musa Okumoto Model(Musa_O) [15], Yamada Imperfect Debugging Model1(Yamada_I_D Model1) [10], Delayed S-Shaped Model(Delayed_S-S) [11], Yamada Rayleigh Model(Yamada_R) [10], Yamada imperfect debugging Model2(Yamada_I_DModel2) [16], Yamada Exponential Model(Yamada_E) [10], P-N-Z Model(P_N_Z) [16], Pham Zhang IFD Model(Pham_Z_I) [14] ,P-Z Model(P_Z) [13] and Zhang-Teng-Pham Model(Zhang_T_P) [14].…”
Section: Software Reliability Growth Modelsmentioning
confidence: 99%
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