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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 6, 2020.
Abstract: Modern Code Review (MCR) is a quality assurance technique that involves massive interactions between team members of MCR. Presently team members of MCR are confronting with the problem of waiting waste production, which results in their psychological distress and project delays. Therefore, the MCR team needs to have effective knowledge sharing during MCR activities, to avoid the circumstances that lead the team members to the waiting state. The objective of this study is to develop the knowledge sharing framework for MCR team to reduce waiting waste. The research methodology used for this study is the Delphi survey. The conducted Delphi survey intended to produce the finalized list of knowledge sharing factors and to recognize and prioritize the most influencing knowledge sharing factor for MCR activities. The study results reported 22 knowledge sharing factors, 135 sub-factor, and 5 categories. Grounded on the results of the Delphi survey the knowledge sharing framework for MCR has been developed. The study is beneficial for software engineering researchers to outspread the research. It can also help the MCR team members to consider the designed framework to increase knowledge sharing and diminish waiting waste.
Nargis Fatima, Sumaira Nazir and Suriayati Chuprat, “Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste” International Journal of Advanced Computer Science and Applications(IJACSA), 11(6), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110656
@article{Fatima2020,
title = {Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110656},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110656},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {6},
author = {Nargis Fatima and Sumaira Nazir and Suriayati Chuprat}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.