{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T13:48:28Z","timestamp":1769262508933,"version":"3.49.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031083327","type":"print"},{"value":"9783031083334","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-08333-4_34","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T15:52:13Z","timestamp":1655394733000},"page":"420-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects"],"prefix":"10.1007","author":[{"given":"Dragica","family":"Rankovic","sequence":"first","affiliation":[]},{"given":"Nevena","family":"Rankovic","sequence":"additional","affiliation":[]},{"given":"Mirjana","family":"Ivanovic","sequence":"additional","affiliation":[]},{"given":"Ljubomir","family":"Lazic","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"34_CR1","first-page":"418","volume":"41","author":"A Stoica","year":"1997","unstructured":"Stoica, A., Blosiu, J.: Neural learning using Orthogonal arrays. Adv. Intell. Syst. 41, 418 (1997)","journal-title":"Adv. Intell. Syst."},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Rankovic, D., et al.: Convergence rate of artificial neural networks in software development projects. Inf. Softw. Technol. J. 138(10) (2021)","DOI":"10.1016\/j.infsof.2021.106627"},{"key":"34_CR3","unstructured":"Boehm, B.W., et al.: Software Cost Estimation with COCOMO II, 1st edn. Prentice Hall Press, Upper Saddle River (2009)"},{"key":"34_CR4","unstructured":"Popovi\u0107, J.: Enhancing methods for effort estimation in software projects. Doctoral dissertation, University of Belgrade, School of Electrical Engineering,"},{"key":"34_CR5","unstructured":"Meli, R., et al.: On the applicability of COSMIC-FFP for measuring software throughout its life cycle. In: Proceedings of the 11th European Software Control and Metrics Conference, pages 18\u201320, Springer, Cham (2000)"},{"key":"34_CR6","doi-asserted-by":"publisher","first-page":"58402","DOI":"10.1109\/ACCESS.2020.2980236","volume":"8","author":"MA Shah","year":"2020","unstructured":"Shah, M.A.: Ensembling artificial bee colony with analogy-based estimation to improve software development effort prediction. IEEE Access 8, 58402\u201358415 (2020)","journal-title":"IEEE Access"},{"key":"34_CR7","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-981-10-8968-8_14","volume-title":"Smart Innovations in Communication and Computational Sciences","author":"A Kaur","year":"2019","unstructured":"Kaur, A., Kaur, K.: Effort estimation for mobile applications using use case point (UCP). In: Panigrahi, B.K., Trivedi, M.C., Mishra, K.K., Tiwari, S., Singh, P.K. (eds.) Smart Innovations in Communication and Computational Sciences. AISC, vol. 669, pp. 163\u2013172. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-10-8968-8_14"},{"issue":"7","key":"34_CR8","doi-asserted-by":"publisher","first-page":"854","DOI":"10.3390\/e23070854","volume":"23","author":"N Rankovic","year":"2021","unstructured":"Rankovic, N., et al.: Improved effort and cost estimation model using Artificial Neural Networks and Taguchi method with different activation functions. Entropy 23(7), 854 (2021)","journal-title":"Entropy"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Rankovic, N., et al.: A new approach to software effort estimation using different artificial neural network architectures and Taguchi orthogonal arrays. IEEE Access 9, 26926\u201326936 (2021)","DOI":"10.1109\/ACCESS.2021.3057807"},{"issue":"19","key":"34_CR10","doi-asserted-by":"publisher","first-page":"8799","DOI":"10.3390\/app11198799","volume":"11","author":"N Rankovic","year":"2021","unstructured":"Rankovic, N., Rankovic, D., Ivanovic, M., Lazic, L.: A novel UCP model based on artificial neural networks and orthogonal arrays. Appl. Sci. 11(19), 8799 (2021)","journal-title":"Appl. Sci."},{"issue":"3","key":"34_CR11","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/0925-2312(94)00013-I","volume":"7","author":"JF Khaw","year":"1995","unstructured":"Khaw, J.F., Lim, B., Lim, L.E.: Optimal design of neural networks using the Taguchi method. Neurocomputing 7(3), 225\u2013245 (1995)","journal-title":"Neurocomputing"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"BaniMustafa, A.: Predicting software effort estimation using machine learning techniques. In: 8th International Conference on Computer Science and Information Technology (CSIT), pp. 249\u2013256, IEEE (2018)","DOI":"10.1109\/CSIT.2018.8486222"},{"key":"34_CR13","unstructured":"A Guide to the Project Management Body of Knowledge (PMBOK Guide). 3rd edn. Project Management Institute, Inc. (2004). ISBN: 1-930699-45-X"},{"issue":"3","key":"34_CR14","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1108\/IJMPB-02-2020-0075","volume":"14","author":"M Ayat","year":"2021","unstructured":"Ayat, M., et al.: Current trends analysis and prioritization of success factors: a systematic literature review of ICT projects. Int. J. Manag. Proj. Bus. 14(3), 652\u2013679 (2021)","journal-title":"Int. J. Manag. Proj. Bus."},{"issue":"11","key":"34_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100288","volume":"28","author":"PS Kumar","year":"2020","unstructured":"Kumar, P.S., et al.: Advancement from neural networks to deep learning in software effort estimation: perspective of two decades. Comput. Sci. Rev. 28(11), 100288 (2020)","journal-title":"Comput. Sci. Rev."},{"key":"34_CR16","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/978-981-15-2449-3_14","volume-title":"Computational Intelligence in Pattern Recognition","author":"P Suresh Kumar","year":"2020","unstructured":"Suresh Kumar, P., Behera, H.S.: Estimating software effort using neural network: an experimental investigation. In: Das, A.K., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds.) Computational Intelligence in Pattern Recognition. AISC, vol. 1120, pp. 165\u2013180. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-2449-3_14"},{"key":"34_CR17","unstructured":"Sazli, M.H.: A brief review of feed-forward neural networks. Commun. Faculty Sci. Univ. Ankara Ser. A2-A3 Phys. Sci. Eng. 50(01) (2006)"},{"issue":"6","key":"34_CR18","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/s001700200046","volume":"19","author":"A Jeang","year":"2002","unstructured":"Jeang, A., Chang, C.L.: Combined robust parameter and tolerance design using Orthogonal arrays. Int. J. Adv. Manuf. Technol. 19(6), 442\u2013447 (2002)","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"34_CR19","doi-asserted-by":"publisher","first-page":"107213","DOI":"10.1016\/j.measurement.2019.107213","volume":"151","author":"JD Kechagias","year":"2020","unstructured":"Kechagias, J.D., et al.: A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy. Measurement 151, 107213 (2020)","journal-title":"Measurement"},{"issue":"4","key":"34_CR20","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s11334-014-0232-4","volume":"10","author":"M Kassab","year":"2014","unstructured":"Kassab, M., Neill, C., Laplante, P.: State of practice in requirements engineering: contemporary data. Innov. Syst. Softw. Eng. 10(4), 235\u2013241 (2014). https:\/\/doi.org\/10.1007\/s11334-014-0232-4","journal-title":"Innov. Syst. Softw. Eng."},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Carroll, E.R.: Estimating software based on use case points. In: Companion to the 20th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, And Applications, pp. 257\u2013265, San Diego, CA, USA (2005)","DOI":"10.1145\/1094855.1094960"},{"issue":"4","key":"34_CR22","first-page":"12","volume":"1","author":"AB Nassif","year":"2010","unstructured":"Nassif, A.B., Capretz, L.F., Ho, D.: Enhancing use case points estimation method using soft computing techniques. J. Glob. Res. Comput. Sci. 1(4), 12\u201321 (2010)","journal-title":"J. Glob. Res. Comput. Sci."},{"key":"34_CR23","unstructured":"Nassif, A.B.: Software size and effort estimation from use case diagrams using regression and soft computing models. Doctoral dissertation, Western University (2012)"},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Azzeh, M.: Fuzzy model tree for early effort estimation machine learning and applications. In: 12th International Conference on Machine Learning and Applications, pp. 117\u2013121, Miami, Florida, USA, IEEE (2013)","DOI":"10.1109\/ICMLA.2013.115"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08333-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T16:07:40Z","timestamp":1655395660000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08333-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031083327","9783031083334"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08333-4_34","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipaiai.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}