Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving

Przewoźniczek, Michał Witold; Datta, Rituparna; Walkowiak, Krzysztof; Komarnicki, Marcin M.

doi:10.1016/j.eswa.2019.113126

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…In addition, recent emerging meta-heuristics techniques [14], such as firefly [15][16][17], cuckoo search [18], bee algorithm [19] and bat algorithm [20], can also be applied in search-based software testing. Among these methods, GAs are very popular and have advantages in solving problems with large-scale search spaces and nonlinear objectives [21,22].…”

Section: Introductionmentioning

confidence: 99%

A feedback-directed method of evolutionary test data generation for parallel programs

Gong

Pan

Tian

et al. 2020

Information and Software Technology

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Context: Genetic algorithms can be utilized for automatic test data generation. Test data are encoded as individuals which are evolved for a number of generations using genetic operators. Test data of a parallel program include not only the program input, but also the communication information between each pair of processes. Traditional genetic algorithms, however, do not make full use of information provided by a population's evolution, resulting in a low efficiency in generating test data. Objective: This paper emphasizes the problem of test data generation for parallel programs, and presents a feedback-directed genetic algorithm for generating test data of path coverage. Method: Information related to a schedule sequence is exploited to improve genetic operators. Specifically, a scheduling sequence is evaluated according to how well an individual covers the target path. The probability of the crossover and mutation points being located in the region is determined based on the evaluation result, which prevents a good schedule sequence from being destroyed. If crossover and mutation are performed in the scheduling sequence, the location of crossover and mutation points is further determined according to the relationship between nodes to be covered and the scheduling sequence. In this way, the population can be evolved in a narrowed search space. Results: The proposed algorithm is applied to test 11 parallel programs. The experimental results show that, compared with the genetic algorithm without utilizing information during the population evolution, the proposed algorithm signif-

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Section: Introductionmentioning

confidence: 99%

A feedback-directed method of evolutionary test data generation for parallel programs

Gong

Pan

Tian

et al. 2020

Information and Software Technology

View full text Add to dashboard Cite

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Effects of economic deterrence variables and royalty rates on petroleum profit tax compliance in Nigeria: an empirical analysis

Ya’u

Saad

Mas’ud

2020

IJESM

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Purpose The oil and gas sector are among the nonrenewable energy sectors that contribute immensely to the economic development of more than 98 countries around the globe. Nigeria depends largely on revenue from oil and gas. Unfortunately, oil and gas companies mostly evade taxes. This study aims to investigate the effects of variables subsumed in the economic deterrence theory of Allingham and Sandmo (1972), which comprise (tax rate, penalty and detection probability) with one additional variable royalty rates (RR) on petroleum profit tax compliance (PPTC). Design/methodology/approach The study used a survey to collect data from 300 local and multi-national oil and gas companies in Nigeria. SPSS version 25 and partial least squares-structural equation modeling (PLS-SEM) version 3.8 were used to analyze the data. Findings The results reveal that there is a negatively significant relationship between tax rate and RR and PPTC. The findings also show a positive and significant relationship between penalty and detection probability and PPTC. Originality/value The implication of the current study is that the current tax rate and RR are determinants of PPTC in Nigeria. Policymakers, in collaboration with the tax authority, should revisit these variables to enhance the level of PPTC, which could lead to an overall improvement in the country’s tax revenue.

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Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving

Cited by 2 publications

References 47 publications

A feedback-directed method of evolutionary test data generation for parallel programs

A feedback-directed method of evolutionary test data generation for parallel programs

Effects of economic deterrence variables and royalty rates on petroleum profit tax compliance in Nigeria: an empirical analysis

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