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DOI: 10.14569/IJACSA.2020.0110160
PDF

Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste

Author 1: Nargis Fatima
Author 2: Sumaira Nazir
Author 3: Suriayati Chuprat

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020.

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Abstract: Software engineering activities, for instance, Modern Code Review (MCR) produce quality software by identifying the defects from the code. It involves social coding and provides ample opportunities to share knowledge among MCR team members. However, the MCR team is confronted with the issue of waiting waste due to poor knowledge sharing among MCR team members. As a result, it delays the project delays and increases mental distress. To minimize the waiting waste, this study aims to identify knowledge sharing factors that impact knowledge sharing in MCR. The methodology employed for this study is a systematic literature review to identify knowledge sharing factors, data coding with continual comparison and memoing techniques of grounded theory to produce a unique and categorized list of factors influencing knowledge sharing. The identified factors were then assessed through expert panel for its naming, expressions, and categorization. The study finding reported 22 factors grouped into 5 broad categories. i.e. Individual, Team, Social, Facility conditions, and Artifact. The study is useful for researchers to extend the research and for the MCR team to consider these factors to enhance knowledge sharing and to minimize waiting waste.

Keywords: knowledge sharing; modern code review; software engineering waiting waste

Nargis Fatima, Sumaira Nazir and Suriayati Chuprat, “Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110160

@article{Fatima2020,
title = {Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110160},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110160},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
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.

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