{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T07:18:07Z","timestamp":1725866287345},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319471051"},{"type":"electronic","value":"9783319471068"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-47106-8_12","type":"book-chapter","created":{"date-parts":[[2016,9,23]],"date-time":"2016-09-23T11:53:34Z","timestamp":1474631614000},"page":"176-191","source":"Crossref","is-referenced-by-count":1,"title":["Test Data Generation Efficiency Prediction Model for EFSM Based on MGGP"],"prefix":"10.1007","author":[{"given":"Weiwei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruilian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,24]]},"reference":[{"issue":"4","key":"12_CR1","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1002\/wics.101","volume":"2","author":"H Abdi","year":"2010","unstructured":"Abdi, H., Williams, L.J.: Principal component analysis. Wiley Interdisc. Rev.: Comput. Stat. 2(4), 433\u2013459 (2010)","journal-title":"Wiley Interdisc. Rev.: Comput. Stat."},{"issue":"8","key":"12_CR2","doi-asserted-by":"crossref","first-page":"1978","DOI":"10.1016\/j.jss.2013.02.061","volume":"86","author":"S Anand","year":"2013","unstructured":"Anand, S., Burke, E.K., Chen, T.Y., Clark, J., Cohen, M.B., Grieskamp, W., Harman, M., Harrold, M.J., McMinn, P., et al.: An orchestrated survey of methodologies for automated software test case generation. J. Syst. Softw. 86(8), 1978\u20132001 (2013)","journal-title":"J. Syst. Softw."},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Asoudeh, N., Labiche, Y.: Multi-objective construction of an entire adequate test suite for an EFSM. In: 2014 IEEE 25th International Symposium on Software Reliability Engineering (ISSRE), pp. 288\u2013299. IEEE (2014)","DOI":"10.1109\/ISSRE.2014.14"},{"issue":"8","key":"12_CR4","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1109\/32.624304","volume":"23","author":"MJ Gallagher","year":"1997","unstructured":"Gallagher, M.J., Narasimhan, V.L.: ADTEST: a test data generation suite for Ada software systems. IEEE Trans. Softw. Eng. 23(8), 473\u2013484 (1997)","journal-title":"IEEE Trans. Softw. Eng."},{"issue":"1","key":"12_CR5","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00521-011-0734-z","volume":"21","author":"AH Gandomi","year":"2012","unstructured":"Gandomi, A.H., Alavi, A.H.: A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems. Neural Comput. Appl. 21(1), 171\u2013187 (2012)","journal-title":"Neural Comput. Appl."},{"key":"12_CR6","unstructured":"Garg, A., Tai, K.: Comparison of regression analysis, artificial neural network and genetic programming in handling the multicollinearity problem. In: 2012 Proceedings of International Conference on Modelling, Identification & Control (ICMIC), pp. 353\u2013358. IEEE (2012)"},{"key":"12_CR7","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.advengsoft.2014.08.005","volume":"78","author":"A Garg","year":"2014","unstructured":"Garg, A., Tai, K.: Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process. Adv. Eng. Softw. 78, 16\u201327 (2014)","journal-title":"Adv. Eng. Softw."},{"issue":"5","key":"12_CR8","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1007\/s11012-013-9873-x","volume":"49","author":"A Garg","year":"2014","unstructured":"Garg, A., Tai, K., Gupta, A.: A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304. Meccanica 49(5), 1193\u20131209 (2014)","journal-title":"Meccanica"},{"issue":"4","key":"12_CR9","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1016\/j.eswa.2013.08.038","volume":"41","author":"A Garg","year":"2014","unstructured":"Garg, A., Vijayaraghavan, V., Mahapatra, S., Tai, K., Wong, C.: Performance evaluation of microbial fuel cell by artificial intelligence methods. Expert Syst. Appl. 41(4), 1389\u20131399 (2014)","journal-title":"Expert Syst. Appl."},{"key":"12_CR10","unstructured":"Han, C., Wang, J., Zheng, M., Wang, E., Xia, J., Li, G., Choe, S.: New variogram modeling method using MGGP and SVR. Earth Sci. Inf., 1\u201317"},{"issue":"A02","key":"12_CR11","first-page":"229","volume":"33","author":"L Jiang","year":"2013","unstructured":"Jiang, L., Zhao, R., Li, Z.: Analysis of efficiency-factors model of test data generation based on extended finite state machine specifications. J. Comput. Appl. 33(A02), 229\u2013234 (2013)","journal-title":"J. Comput. Appl."},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Kalaji, A.S., Hierons, R.M., Swift, S.: Generating feasible transition paths for testing from an extended finite state machine (EFSM) with the counter problem. In: 2010 Third International Conference on Software Testing, Verification, and Validation Workshops (ICSTW), pp. 232\u2013235. IEEE (2010)","DOI":"10.1109\/ICSTW.2010.25"},{"issue":"12","key":"12_CR13","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1016\/j.infsof.2011.06.004","volume":"53","author":"AS Kalaji","year":"2011","unstructured":"Kalaji, A.S., Hierons, R.M., Swift, S.: An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models. Inf. Softw. Technol. 53(12), 1297\u20131318 (2011)","journal-title":"Inf. Softw. Technol."},{"key":"12_CR14","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.petrol.2014.07.035","volume":"123","author":"H Kaydani","year":"2014","unstructured":"Kaydani, H., Mohebbi, A., Eftekhari, M.: Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm. J. Petrol. Sci. Eng. 123, 201\u2013206 (2014)","journal-title":"J. Petrol. Sci. Eng."},{"key":"12_CR15","unstructured":"Lin, X., Pomeranz, I., Reddy, S.M.: Techniques for improving the efficiency of sequential circuit test generation. In: Proceedings of the 1999 IEEE\/ACM International Conference on Computer-Aided Design, pp. 147\u2013151. IEEE Press (1999)"},{"issue":"5","key":"12_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2347696.2347707","volume":"37","author":"M Mahajan","year":"2012","unstructured":"Mahajan, M., Kumar, S., Porwal, R.: Applying genetic algorithm to increase the efficiency of a data flow-based test data generation approach. ACM Sigsoft Softw. Eng. Not. 37(5), 1\u20135 (2012)","journal-title":"ACM Sigsoft Softw. Eng. Not."},{"issue":"3","key":"12_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12665-015-4889-2","volume":"75","author":"D Mohammadzadeh","year":"2016","unstructured":"Mohammadzadeh, D., Bazaz, J.B., Yazd, S.V.J., Alavi, A.H.: Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming. Environ. Earth Sci. 75(3), 1\u201311 (2016)","journal-title":"Environ. Earth Sci."},{"key":"12_CR18","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/978-81-322-0740-5_33","volume-title":"Proceedings of International Conference on Advances in Computing","author":"V Panthi","year":"2013","unstructured":"Panthi, V., Mohapatra, D.P.: Automatic test case generation using sequence diagram. In: Aswatha Kumar, M., Selvarani, R., Kumar, T.V.S. (eds.) Proceedings of ICAdC. AISC, vol. 174, pp. 277\u2013284. Springer, Heidelberg (2013)"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Schrammel, P., Melham, T., Kroening, D.: Generating test case chains for reactive systems. Int. J. Softw. Tools Technol. Transf., 1\u201316 (2014)","DOI":"10.1007\/s10009-014-0358-6"},{"key":"12_CR20","unstructured":"Searson, D.P., Leahy, D.E., Willis, M.J.: Gptips: an open source genetic programming toolbox for multigene symbolic regression. In: Proceedings of the International Multiconference of Engineers and Computer Scientists, vol. 1, pp. 77\u201380. Citeseer (2010)"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"White, T.: Increasing the efficiency of search-based unit test generation using parameter control, pp. 1042\u20131044 (2015)","DOI":"10.1145\/2786805.2807556"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, J., Yang, R., Chen, Z., Zhao, Z., Xu, B.: Automated EFSM-based test case generation with scatter search. In: Proceedings of the 7th International Workshop on Automation of Software Test, pp. 76\u201382. IEEE Press (2012)","DOI":"10.1109\/IWAST.2012.6228994"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, R., Harman, M., Li, Z.: Empirical study on the efficiency of search based test generation for EFSM models. In: Third International Conference on Software Testing, Verification, and Validation Workshops, pp. 222\u2013231. IEEE (2010)","DOI":"10.1109\/ICSTW.2010.44"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, X., Zhao, R., You, F.: EFSM-based test data generation with multi-population genetic algorithm. In: 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 925\u2013928 IEEE (2014)","DOI":"10.1109\/ICSESS.2014.6933716"}],"container-title":["Lecture Notes in Computer Science","Search Based Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47106-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T23:17:39Z","timestamp":1568416659000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-47106-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319471051","9783319471068"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47106-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}