{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T06:22:54Z","timestamp":1766211774348,"version":"3.48.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"5-6","license":[{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Electron Test"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s10836-025-06203-4","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T03:42:46Z","timestamp":1762314166000},"page":"631-649","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Moth Flame Optimization Algorithm Entropy-Based Centroid SVM-Based Software Defect Prediction"],"prefix":"10.1007","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2697-2257","authenticated-orcid":false,"given":"Sanjiv","family":"Sharma","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7589-5828","authenticated-orcid":false,"given":"Ankur","family":"Bhardwaj","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7129-6310","authenticated-orcid":false,"given":"Amar","family":"Singh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0831-4129","authenticated-orcid":false,"given":"Vinay","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,5]]},"reference":[{"key":"6203_CR1","unstructured":"Mojeed HA, Bajeh AO, Balogun AO, Adeleke H (2019) Memetic approach for multi-objective overtime planning in software engineering projects"},{"key":"6203_CR2","doi-asserted-by":"publisher","first-page":"103330","DOI":"10.1016\/j.engappai.2019.103330","volume":"87","author":"M Sulaiman","year":"2020","unstructured":"Sulaiman M, Herwan Z, Mustaffa MM, Saari, Daniyal H (2020) Barnacles mating optimizer: A new bio-inspired algorithm for solving engineering optimization problems. Eng Appl Artif Intell 87:103330","journal-title":"Eng Appl Artif Intell"},{"key":"6203_CR3","doi-asserted-by":"publisher","first-page":"113698","DOI":"10.1016\/j.eswa.2020.113698","volume":"161","author":"A Shabani","year":"2020","unstructured":"Shabani A, Asgarian B, Salido M, Saeed Asil Gharebaghi (2020) Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems. Expert Syst Appl 161:113698","journal-title":"Expert Syst Appl"},{"key":"6203_CR4","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.engappai.2019.01.001","volume":"80","author":"S Shadravan","year":"2019","unstructured":"Shadravan S, Naji HR, Vahid Khatibi B (2019) The sailfish optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems. Eng Appl Artif Intell 80:20\u201334","journal-title":"Eng Appl Artif Intell"},{"key":"6203_CR5","unstructured":"Yang X-S (ed) (2017) Nature-inspired algorithms and applied optimization, vol 744. Springer"},{"key":"6203_CR6","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.advengsoft.2015.11.004","volume":"92","author":"M Li","year":"2016","unstructured":"Li M, Dong H, Zhao XW, Weng, Han T (2016) A novel nature-inspired algorithm for optimization: virus colony search. Adv Eng Softw 92:65\u201388","journal-title":"Adv Eng Softw"},{"key":"6203_CR7","doi-asserted-by":"crossref","unstructured":"Mittal N, Singh U, Sohi BS (2016) Modified grey wolf optimizer for global engineering optimization. Appl Comput Intell Comput","DOI":"10.1155\/2016\/7950348"},{"key":"6203_CR8","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.asoc.2017.11.043","volume":"64","author":"R Moghdani","year":"2018","unstructured":"Moghdani R, Salimifard K (2018) Volleyball Premier Leag Algorithm Appl Soft Comput 64:161\u2013185","journal-title":"Volleyball Premier Leag Algorithm Appl Soft Comput"},{"key":"6203_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113308","volume":"149","author":"A Yadav","year":"2020","unstructured":"Yadav A, Kumar N (2020) Artificial electric field algorithm for engineering optimization problems. Expert Syst Appl 149:113308","journal-title":"Expert Syst Appl"},{"key":"6203_CR10","doi-asserted-by":"publisher","first-page":"103731","DOI":"10.1016\/j.engappai.2020.103731","volume":"94","author":"EH Houssein","year":"2020","unstructured":"Houssein EH, Mohammed R, Saad FA, Hashim H, Shaban, Hassaballah M (2020) L\u00e9vy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems. Eng Appl Artif Intell 94:103731","journal-title":"Eng Appl Artif Intell"},{"key":"6203_CR11","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain M, Singh V, Rani A (2019) A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm Evol Comput 44:148\u2013175","journal-title":"Swarm Evol Comput"},{"issue":"7","key":"6203_CR12","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1007\/s13042-019-01053-x","volume":"11","author":"A Mohamed","year":"2020","unstructured":"Mohamed A, Wagdy AA, Hadi (2020) Gaining-sharing knowledge-based algorithm for solving optimization problems: a novel nature-inspired algorithm. Int J Mach Learn Cybernet 11(7):1501\u20131529","journal-title":"Int J Mach Learn Cybernet"},{"key":"6203_CR13","doi-asserted-by":"crossref","unstructured":"Hussien AG, Hassanien AE, Houssein EH, Amin M, Azar AT (2020) New binary whale optimization algorithm for discrete optimization problems. Eng Optim 52(6)945\u2013959","DOI":"10.1080\/0305215X.2019.1624740"},{"key":"6203_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106711","volume":"213","author":"F MiarNaeimi","year":"2021","unstructured":"MiarNaeimi F, Azizyan G, Rashki M (2021) Horse herd optimization algorithm: a nature-inspired algorithm for high-dimensional optimization problems. Knowledge-Based Systems 213:106711","journal-title":"Knowledge-Based Systems"},{"key":"6203_CR15","doi-asserted-by":"crossref","unstructured":"Abualigah L, Gandomi AH, Elaziz MA, Hussien AG, Khasawneh AM, Alshinwan M, Houssein EH (2020) Nature-inspired optimization algorithms for text document clustering\u2014a comprehensive analysis. Algorithms 13(12):345","DOI":"10.3390\/a13120345"},{"issue":"1","key":"6203_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/s44147-024-00453-3","volume":"71","author":"AJ Anju","year":"2024","unstructured":"Anju AJ, Judith JE (2024) Hybrid feature selection method for predicting software defect. J Eng Appl Sci 71(1):124","journal-title":"J Eng Appl Sci"},{"key":"6203_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109336","volume":"118","author":"H Wang","year":"2024","unstructured":"Wang H, Arasteh B, Arasteh K, Gharehchopogh FS, Rouhi A (2024) A software defect prediction method using binary Gray Wolf optimizer and machine learning algorithms. Comput Electr Eng 118:109336","journal-title":"Comput Electr Eng"},{"issue":"7","key":"6203_CR18","doi-asserted-by":"publisher","first-page":"10093","DOI":"10.1007\/s10586-024-04486-4","volume":"27","author":"B Arasteh","year":"2024","unstructured":"Arasteh B, Arasteh K, Ghaffari A, Ghanbarzadeh R (2024) A new binary chaos-based metaheuristic algorithm for software defect prediction. Cluster Comput 27(7):10093\u201310123","journal-title":"Cluster Comput"},{"issue":"2","key":"6203_CR19","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s10836-024-06116-8","volume":"40","author":"B Arasteh","year":"2024","unstructured":"Arasteh B, Golshan S, Shami S, Kiani F (2024) Sahand: a software fault-prediction method using autoencoder neural network and K-means algorithm. J Electron Test 40(2):229\u2013243","journal-title":"J Electron Test"},{"issue":"3","key":"6203_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/s22030855","volume":"22","author":"P Trojovsk\u00fd","year":"2022","unstructured":"Trojovsk\u00fd P, Dehghani M (2022) Pelican optimization algorithm: a novel nature-inspired algorithm for engineering applications. Sensors (Basel) 22(3):855","journal-title":"Sensors (Basel)"},{"key":"6203_CR21","doi-asserted-by":"publisher","first-page":"14239","DOI":"10.1109\/ACCESS.2021.3052149","volume":"9","author":"Y Hassouneh","year":"2021","unstructured":"Hassouneh Y, Turabieh H, Thaher T, Tumar I, Chantar H, Too J (2021) Boosted whale optimization algorithm with natural selection operators for software fault prediction. IEEE Access 9:14239\u201314258","journal-title":"IEEE Access"},{"issue":"2","key":"6203_CR22","doi-asserted-by":"publisher","first-page":"2193","DOI":"10.1016\/j.aej.2020.12.034","volume":"60","author":"M Ehteram","year":"2021","unstructured":"Ehteram M, Ferdowsi A, Faramarzpour M, Al-Janabi AMS, Al-Ansari N, Bokde ND, Yaseen ZM (2021) Hybridization of artificial intelligence models with nature-inspired optimization algorithms for lake water level prediction and uncertainty analysis. Alexandria Eng J 60(2):2193\u20132208","journal-title":"Alexandria Eng J"},{"key":"6203_CR23","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.advengsoft.2017.03.014","volume":"110","author":"A Kaveh","year":"2017","unstructured":"Kaveh A, Dadras A (2017) A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv Eng Softw 110:69\u201384","journal-title":"Adv Eng Softw"},{"issue":"18","key":"6203_CR24","doi-asserted-by":"publisher","first-page":"6173","DOI":"10.3390\/app10186173","volume":"10","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Montazeri Z, Dhiman G, Malik OP, Morales-Menendez R, Ramirez-Mendoza RA, Dehghani A, Guerrero JM, Parra-Arroyo L (2020) A spring search algorithm applied to engineering optimization problems. Appl Sci 10(18):6173","journal-title":"Appl Sci"},{"key":"6203_CR25","doi-asserted-by":"publisher","first-page":"2931","DOI":"10.1007\/s00366-020-00971-7","volume":"37","author":"M Shehab","year":"2021","unstructured":"Shehab M, Alshawabkah H, Abualigah L, Nagham AL-M (2021) Enhanced a hybrid moth-flame optimization algorithm using new selection schemes. Engineering with Computers 37:2931\u20132956","journal-title":"Engineering with Computers"},{"key":"6203_CR26","doi-asserted-by":"publisher","first-page":"101875","DOI":"10.1016\/j.bspc.2020.101875","volume":"59","author":"CK Jha","year":"2020","unstructured":"Jha CK, Kolekar MH (2020) . Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier. Biomed Signal Process Control 59:101875","journal-title":"Biomed Signal Process Control"},{"key":"6203_CR27","doi-asserted-by":"crossref","unstructured":"Misri ME (2024) Binary water wheel plant algorithm with soft gated recurrent unit for software defect prediction. In: 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE,\u00a0pp 1\u20135","DOI":"10.1109\/ICMNWC63764.2024.10872103"},{"key":"6203_CR28","doi-asserted-by":"crossref","unstructured":"Shrimankar R, Kuanr M, Piri J, Panda N (2022) Software defect prediction: a comparative analysis of machine learning techniques. In: 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS). IEEE,\u00a0pp 38\u201347","DOI":"10.1109\/MLCSS57186.2022.00016"},{"issue":"8","key":"6203_CR29","first-page":"4131","volume":"15","author":"T Siddiqui","year":"2023","unstructured":"Siddiqui T, Mustaqeem M (2023) Performance evaluation of software defect prediction with NASA dataset using machine learning techniques. Int J Inf Technol 15(8):4131\u20134139","journal-title":"Int J Inf Technol"},{"key":"6203_CR30","doi-asserted-by":"crossref","unstructured":"Mehmood I, Shahid S, Hussain H, Khan I, Ahmad S, Rahman S, Ullah N, Huda S (2023) A novel approach to improve software defect prediction accuracy using machine learning. IEEE Access 11:63579\u201363597","DOI":"10.1109\/ACCESS.2023.3287326"},{"key":"6203_CR31","doi-asserted-by":"crossref","unstructured":"Canaparo, Marco E, Ronchieri, Bertaccini G (2022) Software defect prediction: A study on software metrics using statistical and machine learning methods. In: International Symposium on Grids & Clouds vol. 20","DOI":"10.22323\/1.415.0020"}],"container-title":["Journal of Electronic Testing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10836-025-06203-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10836-025-06203-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10836-025-06203-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T04:13:56Z","timestamp":1766204036000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10836-025-06203-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,5]]},"references-count":31,"journal-issue":{"issue":"5-6","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["6203"],"URL":"https:\/\/doi.org\/10.1007\/s10836-025-06203-4","relation":{},"ISSN":["0923-8174","1573-0727"],"issn-type":[{"type":"print","value":"0923-8174"},{"type":"electronic","value":"1573-0727"}],"subject":[],"published":{"date-parts":[[2025,11,5]]},"assertion":[{"value":"24 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethical Approval"}},{"value":"All authors do not have any conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interest"}}]}}