Matches in SemOpenAlex for { <https://semopenalex.org/work/W2990170229> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2990170229 abstract "In present paper we propose an approach to automatic generation of test data set based on application of the genetic algorithm. We consider original procedure for computation of the weights of code operations used to formulate the fitness function being the sum of these weights. Terminal objective and result of fitness function selection is maximization of code coverage by generated test data set. The idea of the genetic algorithm application approach is that first we choose the most complex branches of the program code for accounting in the fitness function. After taking the branch into account its weight is reset to zero in order to ensure maximum code coverage. By adjusting the algorithm, it is possible to ensure that the automatic test data generating algorithm finds the most distant from each other parts of the program code and, thus, the higher level of code coverage is attained. We give a detailed example illustrating the work and advantages of considered approach and suppose further improvements of the method." @default.
- W2990170229 created "2019-12-05" @default.
- W2990170229 creator A5078093709 @default.
- W2990170229 creator A5083058702 @default.
- W2990170229 date "2019-01-01" @default.
- W2990170229 modified "2023-09-24" @default.
- W2990170229 title "Using genetic algorithm for generating optimal data sets to automatic testing the program code" @default.
- W2990170229 cites W1506983754 @default.
- W2990170229 cites W1527781030 @default.
- W2990170229 cites W1656040041 @default.
- W2990170229 cites W1979885578 @default.
- W2990170229 cites W2016962213 @default.
- W2990170229 cites W2026906740 @default.
- W2990170229 cites W2059051069 @default.
- W2990170229 cites W2068465400 @default.
- W2990170229 cites W2071442870 @default.
- W2990170229 cites W2095176152 @default.
- W2990170229 cites W2100766650 @default.
- W2990170229 cites W2109596254 @default.
- W2990170229 cites W2129547689 @default.
- W2990170229 cites W2141223953 @default.
- W2990170229 cites W2143935213 @default.
- W2990170229 cites W2259428266 @default.
- W2990170229 cites W2511492078 @default.
- W2990170229 cites W2529078300 @default.
- W2990170229 cites W2752231311 @default.
- W2990170229 cites W2885477417 @default.
- W2990170229 doi "https://doi.org/10.18287/1613-0073-2019-2416-173-182" @default.
- W2990170229 hasPublicationYear "2019" @default.
- W2990170229 type Work @default.
- W2990170229 sameAs 2990170229 @default.
- W2990170229 citedByCount "3" @default.
- W2990170229 countsByYear W29901702292020 @default.
- W2990170229 countsByYear W29901702292021 @default.
- W2990170229 countsByYear W29901702292023 @default.
- W2990170229 crossrefType "proceedings-article" @default.
- W2990170229 hasAuthorship W2990170229A5078093709 @default.
- W2990170229 hasAuthorship W2990170229A5083058702 @default.
- W2990170229 hasBestOaLocation W29901702291 @default.
- W2990170229 hasConcept C11413529 @default.
- W2990170229 hasConcept C119857082 @default.
- W2990170229 hasConcept C14036430 @default.
- W2990170229 hasConcept C176066374 @default.
- W2990170229 hasConcept C177264268 @default.
- W2990170229 hasConcept C199360897 @default.
- W2990170229 hasConcept C2776760102 @default.
- W2990170229 hasConcept C2777904410 @default.
- W2990170229 hasConcept C41008148 @default.
- W2990170229 hasConcept C53942775 @default.
- W2990170229 hasConcept C78458016 @default.
- W2990170229 hasConcept C86803240 @default.
- W2990170229 hasConcept C8880873 @default.
- W2990170229 hasConceptScore W2990170229C11413529 @default.
- W2990170229 hasConceptScore W2990170229C119857082 @default.
- W2990170229 hasConceptScore W2990170229C14036430 @default.
- W2990170229 hasConceptScore W2990170229C176066374 @default.
- W2990170229 hasConceptScore W2990170229C177264268 @default.
- W2990170229 hasConceptScore W2990170229C199360897 @default.
- W2990170229 hasConceptScore W2990170229C2776760102 @default.
- W2990170229 hasConceptScore W2990170229C2777904410 @default.
- W2990170229 hasConceptScore W2990170229C41008148 @default.
- W2990170229 hasConceptScore W2990170229C53942775 @default.
- W2990170229 hasConceptScore W2990170229C78458016 @default.
- W2990170229 hasConceptScore W2990170229C86803240 @default.
- W2990170229 hasConceptScore W2990170229C8880873 @default.
- W2990170229 hasFunder F4320321912 @default.
- W2990170229 hasLocation W29901702291 @default.
- W2990170229 hasOpenAccess W2990170229 @default.
- W2990170229 hasPrimaryLocation W29901702291 @default.
- W2990170229 hasRelatedWork W1543345676 @default.
- W2990170229 hasRelatedWork W2088505938 @default.
- W2990170229 hasRelatedWork W2312264758 @default.
- W2990170229 hasRelatedWork W2362295904 @default.
- W2990170229 hasRelatedWork W2363955296 @default.
- W2990170229 hasRelatedWork W2367176150 @default.
- W2990170229 hasRelatedWork W2373057837 @default.
- W2990170229 hasRelatedWork W2385500201 @default.
- W2990170229 hasRelatedWork W2392872329 @default.
- W2990170229 hasRelatedWork W2803248003 @default.
- W2990170229 isParatext "false" @default.
- W2990170229 isRetracted "false" @default.
- W2990170229 magId "2990170229" @default.
- W2990170229 workType "article" @default.