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Hare, E., & Kaplan, A. (2017). Designing modular software: a case study in introductory statistics. Journal of Computational and Graphical Statistics, 26(3), 493-500.HareE.KaplanA. (2017). Designing modular software: a case study in introductory statistics. Journal of Computational and Graphical Statistics, 26(3), 493-500.Search in Google Scholar
Sun, H., Ha, W., Teh, P. L., & Huang, J. (2017). A case study on implementing modularity in software development. Journal of Computer Information Systems, 57(2), 130-138.SunH.HaW.TehP. L.HuangJ. (2017). A case study on implementing modularity in software development. Journal of Computer Information Systems, 57(2), 130-138.Search in Google Scholar
Buzurovic, I., Podder, T. K., Fu, L., & Yu, Y. (2010, May). Modular software design for brachytherapy image-guided robotic systems. In 2010 IEEE International Conference on BioInformatics and BioEngineering (pp. 203-208). IEEE.BuzurovicI.PodderT. K.FuL.YuY. (2010, May). Modular software design for brachytherapy image-guided robotic systems. In 2010 IEEE International Conference on BioInformatics and BioEngineering (pp. 203-208). IEEE.Search in Google Scholar
Marquitti, F. M. D., Guimaraes Jr, P. R., Pires, M. M., & Bittencourt, L. F. (2014). MODULAR: software for the autonomous computation of modularity in large network sets. Ecography, 37(3), 221-224.MarquittiF. M. D.Guimaraes JrP. R.PiresM. M.BittencourtL. F. (2014). MODULAR: software for the autonomous computation of modularity in large network sets. Ecography, 37(3), 221-224.Search in Google Scholar
Huang, T., & Fang, C. C. (2023). Optimization of Software Test Scheduling under Development of Modular Software Systems. Symmetry, 15(1), 195.HuangT.FangC. C. (2023). Optimization of Software Test Scheduling under Development of Modular Software Systems. Symmetry, 15(1), 195.Search in Google Scholar
Verschueren, R., Frison, G., Kouzoupis, D., van Duijkeren, N., Zanelli, A., Quirynen, R., & Diehl, M. (2018). Towards a modular software package for embedded optimization. IFAC-PapersOnLine, 51(20), 374-380.VerschuerenR.FrisonG.KouzoupisD.van DuijkerenN.ZanelliA.QuirynenR.DiehlM. (2018). Towards a modular software package for embedded optimization. IFAC-PapersOnLine, 51(20), 374-380.Search in Google Scholar
Albers, A., Bursac, N., Scherer, H., Birk, C., Powelske, J., & Muschik, S. (2019). Model-based systems engineering in modular design. Design Science, 5, e17.AlbersA.BursacN.SchererH.BirkC.PowelskeJ.MuschikS. (2019). Model-based systems engineering in modular design. Design Science, 5, e17.Search in Google Scholar
Koziolek, H. (2010). Performance evaluation of component-based software systems: A survey. Performance evaluation, 67(8), 634-658.KoziolekH. (2010). Performance evaluation of component-based software systems: A survey. Performance evaluation, 67(8), 634-658.Search in Google Scholar
Ozer, M., & Vogel, D. (2015). Contextualized relationship between knowledge sharing and performance in software development. Journal of Management Information Systems, 32(2), 134-161.OzerM.VogelD. (2015). Contextualized relationship between knowledge sharing and performance in software development. Journal of Management Information Systems, 32(2), 134-161.Search in Google Scholar
Hasan, D. A., Hussan, B. K., Zeebaree, S. R., Ahmed, D. M., Kareem, O. S., & Sadeeq, M. A. (2021). The impact of test case generation methods on the software performance: A review. International Journal of Science and Business, 5(6), 33-44.HasanD. A.HussanB. K.ZeebareeS. R.AhmedD. M.KareemO. S.SadeeqM. A. (2021). The impact of test case generation methods on the software performance: A review. International Journal of Science and Business, 5(6), 33-44.Search in Google Scholar
Lange, K. (2016). MM optimization algorithms. Society for Industrial and Applied Mathematics.LangeK. (2016). MM optimization algorithms. Society for Industrial and Applied Mathematics.Search in Google Scholar
Zenil, H. (2020). A review of methods for estimating algorithmic complexity: options, challenges, and new directions. Entropy, 22(6), 612.ZenilH. (2020). A review of methods for estimating algorithmic complexity: options, challenges, and new directions. Entropy, 22(6), 612.Search in Google Scholar
Papadimitriou, C. (2014). Algorithms, complexity, and the sciences. Proceedings of the National Academy of Sciences, 111(45), 15881-15887.PapadimitriouC. (2014). Algorithms, complexity, and the sciences. Proceedings of the National Academy of Sciences, 111(45), 15881-15887.Search in Google Scholar
Nasar, A. A. (2016). The history of algorithmic complexity. The Mathematics Enthusiast, 13(3), 217-242.NasarA. A. (2016). The history of algorithmic complexity. The Mathematics Enthusiast, 13(3), 217-242.Search in Google Scholar
Roy, S., Rudra, A., & Verma, A. (2013, January). An energy complexity model for algorithms. In Proceedings of the 4th conference on Innovations in Theoretical Computer Science (pp. 283-304).RoyS.RudraA.VermaA. (2013, January). An energy complexity model for algorithms. In Proceedings of the 4th conference on Innovations in Theoretical Computer Science (pp. 283-304).Search in Google Scholar
Müller, S. M., & Paul, W. J. (2013). Computer architecture: complexity and correctness. Springer Science & Business Media.MüllerS. M.PaulW. J. (2013). Computer architecture: complexity and correctness. Springer Science & Business Media.Search in Google Scholar
Rahwan, I. (2018). Society-in-the-loop: programming the algorithmic social contract. Ethics and information technology, 20(1), 5-14.RahwanI. (2018). Society-in-the-loop: programming the algorithmic social contract. Ethics and information technology, 20(1), 5-14.Search in Google Scholar
Knuth, D. E. (2014). The Art of Computer Programming: Seminumerical Algorithms, Volume 2. Addison-Wesley Professional.KnuthD. E. (2014). The Art of Computer Programming: Seminumerical Algorithms, Volume 2. Addison-Wesley Professional.Search in Google Scholar
Drori, Y., & Drori, Y. (2014). Contributions to the complexity analysis of optimization algorithms. Tel Aviv, Israel: Universitat Tel-Aviv.DroriY.DroriY. (2014). Contributions to the complexity analysis of optimization algorithms. Tel Aviv, Israel: Universitat Tel-Aviv.Search in Google Scholar
Yurong Zhong, Kechen Liu, Chen Jiqiu, Xie Zhe & Weiling Li. (2024). Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks. Neurocomputing128440-128440.ZhongYurongLiuKechenJiqiuChenZheXieLiWeiling (2024). Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks. Neurocomputing128440-128440.Search in Google Scholar
Chenggang Li, Jiajun Zhang, Haifeng Zhang & Jiarui Wang. (2024). A clustering method for charging behaviors of electric vehicle users based on an improved k-means algorithm. Journal of Physics: Conference Series(1),012029-012029.LiChenggangZhangJiajunZhangHaifengWangJiarui (2024). A clustering method for charging behaviors of electric vehicle users based on an improved k-means algorithm. Journal of Physics: Conference Series(1),012029-012029.Search in Google Scholar
Dian Retno Sari Dewi, Dini Endah Setyo Rahaju, Maureen Angela, Irene Karijadi & Luh Juni Asrini. (2024). Determining Optimal Design Specification in the House of Quality. Mathematical Modelling of Engineering Problems(6),DewiDian Retno SariRahajuDini Endah SetyoAngelaMaureenKarijadiIreneAsriniLuh Juni (2024). Determining Optimal Design Specification in the House of Quality. Mathematical Modelling of Engineering Problems(6),Search in Google Scholar
Haidar Ali, Field Matthew, Sykes Jonathan, Carolan Martin & Holloway Lois. (2021). PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX.AliHaidarMatthewFieldJonathanSykesMartinCarolanLoisHolloway (2021). PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX.Search in Google Scholar
Billel Zaoui, Djamel Benterki & Samia Khelladi. (2024). Complexity analysis and numerical implementation of a new interior-point algorithm for semidefinite optimization. Operations Research Letters107192-107192.ZaouiBillelBenterkiDjamelKhelladiSamia (2024). Complexity analysis and numerical implementation of a new interior-point algorithm for semidefinite optimization. Operations Research Letters107192-107192.Search in Google Scholar