Quantification of software code coverage using artificial bee colony optimization based on Markov approach

DOI10.1007/s13369-017-2554-7zbMath1390.90579OpenAlexW2611869821MaRDI QIDQ1640487

Ramalingam Sujatha, Chandran Senthil Kumar, Muthusamy Boopathi, Srinivasan Narasimman

Publication date: 14 June 2018

Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13369-017-2554-7

zbMATH Keywords

Markov chainartificial bee colonydd-graphinitial test suiteLCSAJ coveragepath coverage

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Theory of software (68N99)

Cites Work

• A Complexity Measure
• Unnamed Item
• Unnamed Item

This page was built for publication: Quantification of software code coverage using artificial bee colony optimization based on Markov approach