Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Software Cost Estimation using COCOMO Cost Driver Features with Battle Royale Optimization and Quantum Ensemble Meta-Regression Technique Subject The topic of the resource Battle Royale Optimization; BRO; COCOMO model; cost drivers; cost estimation; machine learning; QEMRT; Quantum Ensemble Meta-Regression Technique; software Description An account of the resource This research suggests a unique method for improving software cost estimates by combining Battle Royale Optimisation (BRO) and Quantum Ensemble Meta-Regression Technique (QEMRT) with COCOMO cost driver characteristics. The strengths of these three strategies are combined in the suggested strategy to increase the accuracy of software cost estimation. The COCOMO model is a popular software cost-estimating methodology that considers several cost factors. BRO is a metaheuristic algorithm that mimics the process of the fittest people being selected naturally and was inspired by the Battle Royale video game. The benefits of quantum computing and ensemble learning are combined in the machine learning approach known as QEMRT. Using a correlation-based feature selection technique, we first identified the most important COCOMO cost drivers in our study. To get the best-fit model, we then used BRO to optimize the weights of these cost drivers. To further increase the estimation's accuracy, QEMRT was utilized to meta-regress the optimized model. The suggested method was tested on two datasets for software cost estimating that are available to the public, and the outcomes were compared with other cutting-edge approaches. The experimental findings demonstrated that our suggested strategy beat the other approaches in terms of accuracy, robustness, and stability. In conclusion, the suggested method offers a viable strategy for improving the accuracy of software cost estimation, which might help software development organizations by improving project planning and resource allocation. 2023 IEEE. Creator An entity primarily responsible for making the resource Shoran P.; Sinha A.; Mahmood H.R.; Sharma V.; Jha P.; Kumar B.; Alkhayyat A. Source A related resource from which the described resource is derived 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCNT56998.2023.10307113" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT56998.2023.10307113</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179851350&amp;doi=10.1109%2FICCCNT56998.2023.10307113&amp;partnerID=40&amp;md5=fe37e1fdafcf79f36c4c54068f74e349" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179851350&amp;doi=10.1109%2fICCCNT56998.2023.10307113&amp;partnerID=40&amp;md5=fe37e1fdafcf79f36c4c54068f74e349</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033509-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shoran P., Dr. Akhilesh das Gupta Institure of Technology and Management, India; Sinha A., Ignou, Department of Cs and It, New Delhi, India; Mahmood H.R., Fast Nuces Cfd Campus, Punjab, Pakistan; Sharma V., Christ University, Department of Computer Science, Delhi NCR, India; Jha P., Amity University Jhrakhand, Department of Computer Science An Engineering, Ranchi, India; Kumar B., Amity University Jhrakhand, Department of Computer Science An Engineering, Ranchi, India; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq