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A Study on the Effectiveness of Agile Methodology Using a Dataset


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TAWOSI, V. ‒ AL-SUBAIHIN, A. ‒ MOUSSA, R. ‒ SARRO, F.: “A Versatile Dataset of Agile Open Source Software Projects,” 2022. Search in Google Scholar

BALÁŽ, P.: “Web Application for Agile Software Project Simulation,” TU of Košice, Košice, 2022. Search in Google Scholar

ALZEYANI, E. M. M. ‒ SZABÓ, C.: “A study on the methodology of Software Project Management used by students whether they are using an Agile or Waterfall methodology,” in ICETA 2022, pp.22-27, 2022. Search in Google Scholar

GOYAL, S. ‒ PARASHAR, A. “Machine Learning Application to Improve COCOMO Model using Neural Networks,” International Journal of Information Technology and Computer Science (IJITCS), pp. 35-51, 2018. Search in Google Scholar

ÖZKAN, D. ‒ MISHRA, A.: “Agile Project Management Tools: A Brief Comprative View,” pp. 17-15, 2019. Search in Google Scholar

SERRADOR, P. ‒ PINTO, J. K.: “Does Agile work? — A quantitative analysis of Agile project success,” International journal of project management, vol. 33, no. 5, pp. 1040-1051, 2015. Search in Google Scholar

CHEIKHI, L. ‒ ABRAN, A.: “PROMISE and ISBSG Software Engineering data repositories: A survey,” 2013. Search in Google Scholar

USMAN, M. ‒ MENDES, E. ‒ WEIDT, F. ‒ BRITTO, R.: “Effort Estimation in Agile Software Development: A systematic literature review,” in PROMISE ‘14: Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014. Search in Google Scholar

SAHOO, K. ‒ KUMAR SAMAL, A. ‒ PRAMANIK, J. ‒ KUMAR PANI, S.: “Exploratory Data Analysis using Python,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 12, pp. 4727-4735, 2019. Search in Google Scholar

RAHMANY, M. ‒ MOHD ZIN, A. ‒ SUNDARARAJAN, E. A.: “Comparing Tools Provided By Python And R For Exploratory Data Analysis,” pp. 131-142, 2020. Search in Google Scholar

BALÁŽ, P. ‒ MUSTAFA MOAMER ALZEYANI, E. ‒ SZABÓ, C.: “Web Application for Simulation of Agile Software Projects – Stage One: Team Builder,” Journal of Applied Technical and Educational Sciences, vol. 12, pp. 1-11, 2022 Search in Google Scholar

TARIQ, S. ‒ USMAN, M. ‒ FONG, A. C. M.: “Selecting best predictors from large software repositories for highly accurate software effort estimation,” 2020 Search in Google Scholar

DE SILVA, I. J. ‒ RAYADURGAM, S. ‒ HEIMDAHL, M. P. E.: “A reference model for simulating Agile processes,” 2015. Search in Google Scholar

ALZEYANI, E. M. M. ‒ SZABÓ, C.: “Comparison of Agile Software Project Management Methods,” in 22nd Scientific Conference of Young Researchers, 2022. Search in Google Scholar

ALZEYANI, E. M. M. ‒ SZABÓ, C.: “Simulation Model for Agile Software Project Management,” in 2021 19th International Conference on Emerging eLearning Technologies and Applications (ICETA), 2021. Search in Google Scholar

NAJAH MAHDI, M. ‒ HAZLI MOHAMED ZABIL, M. ‒ AHMAD, A. R. ‒ ISMAIL, R. ‒ YUSOFF, Y. ‒KOK CHENG, L. ‒ SUFYIAN BIN MOHD AZMI, M. ‒ NATIQ, H. ‒ HAPPALA NAIDU, H.: “Software Project Management Using Machine Learning Technique—A Review,” 2021. Search in Google Scholar

ALZEYANI, E. M. M.: “DIGITAL SKILLS IN AGILE TEAMWORK ENVIRONMENT,” in Skills for (post) digital society, Košice (Slovakia), 2022. Search in Google Scholar

eISSN:
1338-3957
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Information Technology, Databases and Data Mining, Engineering, Electrical Engineering