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Muhammad Azeem Akbar
Muhammad Azeem Akbar
Professor (Associate), LUT University, Finland
Verified email at lut.fi
Title
Cited by
Cited by
Year
Success factors influencing requirements change management process in global software development
MA Akbar, J Sang, AA Khan, S Mahmood, SF Qadri, H Hu, H Xiang
Journal of Computer Languages 51, 112-130, 2019
1092019
Improving the quality of software development process by introducing a new methodology–AZ-model
MA Akbar, J Sang, AA Khan, M Shafiq, S Hussain, H Hu, M Elahi, H Xiang
IEEE Access 6, 4811-4823, 2017
1032017
Effect of project management in requirements engineering and requirements change management processes for global software development
M Shafiq, Q Zhang, MA Akbar, AA Khan, S Hussain, FE Amin, A Khan, ...
IEEE Access 6, 25747-25763, 2018
992018
Statistical analysis of the effects of heavyweight and lightweight methodologies on the six-pointed star model
MA Akbar, J Sang, AA Khan, FE Amin, S Hussain, MK Sohail, H Xiang, ...
IEEE Access 6, 8066-8079, 2018
852018
Toward Successful DevSecOps in Software Development Organizations: A Decision-Making Framework
AA Muhammad Azeem Akbar, Kari Smolander, Sajjad Mahmood
Information and Software Technology, 2022
832022
Analyzing renewable energy sources of a developing country for sustainable development: An integrated fuzzy based-decision methodology
YA Solangi, C Longsheng, SAA Shah, A Alsanad, M Ahmad, MA Akbar, ...
Processes 8 (7), 825, 2020
762020
Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping
AA Khan, M Shameem, M Nadeem, MA Akbar
Applied Soft Computing 102, 107090, 2021
742021
Ethics of AI: A systematic literature review of principles and challenges
AA Khan, S Badshah, P Liang, M Waseem, B Khan, A Ahmad, ...
Proceedings of the 26th International Conference on Evaluation and …, 2022
602022
Context-aware trust and reputation model for fog-based IoT
Y Hussain, H Zhiqiu, MA Akbar, A Alsanad, AAA Alsanad, A Nawaz, ...
IEEE Access 8, 31622-31632, 2020
582020
Investigation of the requirements change management challenges in the domain of global software development
MA Akbar, J Sang, AA Khan, S Hussain
Journal of Software: Evolution and Process 31 (10), e2207, 2019
582019
CT‐based automatic spine segmentation using patch‐based deep learning
SF Qadri, H Lin, L Shen, M Ahmad, S Qadri, S Khan, M Khan, SS Zareen, ...
International Journal of Intelligent Systems 2023 (1), 2345835, 2023
522023
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
MZ Rahman, MA Akbar, V Leiva, A Tahir, MT Riaz, C Martin-Barreiro
Computers in Biology and Medicine 154, 106583, 2023
502023
Requirement change management challenges in GSD: An analytical hierarchy process approach
MA Akbar, AA Khan, AW Khan, S Mahmood
Journal of Software: Evolution and Process 32 (7), e2246, 2020
482020
Investigation of Project Administration related challenging factors of Requirements Change Management in global software development: A systematic literature review
MA Akbar, M Shameem, J Ahmad, A Maqbool, K Abbas
2018 International Conference on Computing, Electronic and Electrical …, 2018
472018
Identification and prioritization of DevOps success factors using fuzzy-AHP approach
MA Akbar, S Mahmood, M Shafiq, A Alsanad, AAA Alsanad, A Gumaei
Soft computing, 1-25, 2023
452023
SVseg: Stacked sparse autoencoder-based patch classification modeling for vertebrae segmentation
SF Qadri, L Shen, M Ahmad, S Qadri, SS Zareen, MA Akbar
Mathematics 10 (5), 796, 2022
442022
Prioritization based taxonomy of DevOps security challenges using PROMETHEE
S Rafi, W Yu, MA Akbar, A Alsanad, A Gumaei
IEEE Access 8, 105426-105446, 2020
442020
Systematic literature review and empirical investigation of motivators for requirements change management process in global software development
AA Khan, MA Akbar
Journal of Software: Evolution and Process 32 (4), e2242, 2020
432020
Analytic hierarchy process based prioritisation and taxonomy of success factors for scaling agile methods in global software development
M Shameem, AA Khan, MG Hasan, MA Akbar
IET software 14 (4), 389-401, 2020
422020
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: Methodology, evaluation, and case study in SAARC countries
PM Iqra Sardar, Muhammad Azeem Akbar, V´ıctor Leiva, Ahmed Alsanad
Stochastic Environmental Research and Risk Assessment, 1-15, 2022
40*2022
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