{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T18:26:23Z","timestamp":1761675983588,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642315510"},{"type":"electronic","value":"9783642315527"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-31552-7_28","type":"book-chapter","created":{"date-parts":[[2012,8,11]],"date-time":"2012-08-11T08:11:07Z","timestamp":1344672667000},"page":"263-271","source":"Crossref","is-referenced-by-count":3,"title":["Evolutionary Multi-Objective Optimization for Data-Flow Testing of Object-Oriented Programs"],"prefix":"10.1007","author":[{"given":"P.","family":"Maragathavalli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Kanmani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"28_CR1","first-page":"18","volume":"5","author":"A. Sukstrienwong","year":"2011","unstructured":"Sukstrienwong, A.: Solving multi-objective optimization under bounds by genetic algorithms. International Journal of Computers\u00a05(1), 18\u201325 (2011)","journal-title":"International Journal of Computers"},{"issue":"10","key":"28_CR2","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.4304\/jcp.5.10.1560-1569","volume":"5","author":"A.S. Ghiduk","year":"2010","unstructured":"Ghiduk, A.S.: Automatic Generation of Object-Oriented Tests with a Multistage-Based Genetic Algorithm. Journal of Computers\u00a05(10), 1560\u20131569 (2010)","journal-title":"Journal of Computers"},{"issue":"04","key":"28_CR3","first-page":"770","volume":"2","author":"D.P. Singh","year":"2011","unstructured":"Singh, D.P., Khare, A.: Different Aspects of Evolutionary Algorithms, Multi-Objective Optimization Algorithms and Application Domain. International Journal of Advanced Networking and Applications\u00a02(04), 770\u2013775 (2011)","journal-title":"International Journal of Advanced Networking and Applications"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Harman, M., Kiranlakhotia, McMinn, P.: A Multi-Objective Approach to Search-Based Test Data Generation. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2007, pp. 1\u20138 (2007)","DOI":"10.1145\/1276958.1277175"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering and System Safety, pp. 992\u20131007. Elsevier (2006)","DOI":"10.1016\/j.ress.2005.11.018"},{"key":"28_CR6","unstructured":"Conway, B.A.: A Survey of Methods Available for the Numerical Optimization of Continuous Dynamic Systems. Journal of Optimization Theory and Applications (JOTA) of Springer, 1\u201336 (2011)"},{"issue":"2","key":"28_CR7","doi-asserted-by":"publisher","first-page":"363","DOI":"10.3745\/JIPS.2011.7.2.363","volume":"7","author":"R. Malhotra","year":"2011","unstructured":"Malhotra, R., Garg, M.: An Adequacy Based Test Data Generation Technique Using Genetic Algorithms. Journal of Information Processing Systems\u00a07(2), 363\u2013384 (2011)","journal-title":"Journal of Information Processing Systems"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Andreou, A.S., Economides, K.A., Sofokleous, A.A.: An Automatic software test-data generation scheme based on data flow criteria and genetic algorithms. In: 7th International Conference on Computer and Information Technology, pp. 867\u2013872 (2007)","DOI":"10.1109\/CIT.2007.97"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Chen, Y., Zhong, Y.: Automatic Path-oriented Test Data Generation Using a Multi-population Genetic Algorithm. In: Fourth International Conference on Natural Computation, pp. 566\u2013570 (2008)","DOI":"10.1109\/ICNC.2008.388"},{"key":"28_CR10","unstructured":"Deb, K.: Single and Multi-Objective Optimization using Evolutionary Computation. KanGALRt- No. 2004002, Technical Report, pp. 1\u201324 (2005)"},{"key":"28_CR11","unstructured":"Zhang, Y.: Multi-Objective Search-Based Requirements Selection and Optimization. Ph.D Thesis, University of London, pp. 1\u2013276 (2010)"},{"key":"28_CR12","unstructured":"Coello, C.A., Lamont, G.B., Van Veldhuizen, D.A.: Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edn. Springer (2007)"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Computing and Information Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-31552-7_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T03:14:51Z","timestamp":1676776491000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-31552-7_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642315510","9783642315527"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-31552-7_28","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2013]]}}}