[PDF] Top 20 A Memetic Algorithm for whole test suite generation

... search does improve performance, one has to strike the right balance between the effort spent on local search and the one spent on global search (i.e., the search operators in the GA). Considering Table 3, we see that ... See full document

... the test suite there is a particular integer variable, the probability of it being mutated during the search with a Genetic Al- gorithm is low, and so the optimization toward particular branches dependent ... See full document

... t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic ...Neighborhood Algorithm, Particle Swarm Optimization, and Cuckoo Search ...individual ... See full document

... Test Suite minimization is an approach, plays an effective role in CT to expand pairwise analysis and to shrink the amount of test cases without corrupting their ...gain test suite ... See full document

... generates test suites incrementally using cum-variable strength strategy for ...new algorithm that features the construction of test suites to support expressive constraining over the input domain ... See full document

... pair-wise test sets” [McCaffrey (2009)] where automated test case generation is ...“Routing Algorithm” [Rahmatizadeh et al ...software test suite prioritization [Mala and Mohan ... See full document

... for test suite reduction using binary fractional firefly ...optimization algorithm called, BEfirefly algorithm to select test cases optimally with two constraints, i) It should satisfy ... See full document

... the algorithm as well as diversity ...an algorithm named UniGen [11], following by the Unigen2 ...generating test cases using theorem provers is QuickSampler ...New test cases generated in ... See full document

... applying test prioritization in event-driven software (EDS) ...of test cases to be ordered, and returns a sequence that is ordered by the prioritization criterion & consider it as ...Order Suite) ... See full document

... colony algorithm (ABC) [10] has found its usage in various fields of software testing like Test suite Optimization, Automated Generation of Pair wise ...proposed algorithm is used for ... See full document

... The test suite was problems made out of a number of subfunctions either interleaved or ...(GComa) algorithm were tested against the GA,MA, and GRand algorithms described ... See full document

... t-way test generation as a case ...Genetic Algorithm (GA) crossover search operator [25], Teaching Learning based Optimization (TLBO) algorithm’s peer learning search operator [39], Flower ... See full document

... best test of unit level testing is to distinguish a base arrangement of unit level tests to ...The test is to confine a subset of ways that give scope to every single testable unit, and to make that subset ... See full document

... Dynamic test data generation mainly consists in a function that associates a fitness value (related to a test criterion) to each input of the ...search test data that satisfy the considered ... See full document

... evolutionary algorithm called GAVEO. Experiments show that this algorithm is more efficient than greedy algorithm although it is more time ... See full document

... Kiyoharu Tagawa [44] presents a multi objective optimum design method for balanced SAW filters. As, discussed earlier, the frequency response characteristics of a filter is governed by their geometrical structures. Here, ... See full document

... which test data will be selected as the final test ...as test data candidates list. The test data candidates list then will be extended by adding one parameter at a time with value that covers ... See full document

... genetic algorithm consists of following operations namely: Initialization, Selection, Crossover, Mutation and ...the generation of initial population by using some suitable encoding scheme that depends on ... See full document

... evolutionary algorithm that tackles the sub- space clustering problem was presented in (Peignier, Rigotti, & Beslon, ...This algorithm simulates a population of evolving individuals, where these in- ... See full document

... GUI test cases are ...every test case generated from the EFG model is ...each test suite must be generated carefully to ensure that every test case runs ... See full document