A Risk Management Framework for Large Scale Scrum using Metadata Outer Request Management Methodology

被引:0
作者
Adel, Rehab [1 ]
Harb, Hany [1 ]
Elshenawy, Ayman [1 ,2 ]
机构
[1] Al Azhar Univ, Fac Engn, Cairo, Egypt
[2] Egyptian Chinese Univ, Fac Engn & Technol, Cairo, Egypt
关键词
-Distributed agile development; knowledge sharing; risk management; large scale scrum; metadata outer request management; DISTRIBUTED AGILE DEVELOPMENT; CHALLENGES;
D O I
10.14569/IJACSA.2022.0130315
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recently, most software projects became naturally Distributed Agile Development (DAD) projects. The main benefits of DAD projects are cost-saving and being close to markets due to their distributed nature, such as in large-scale of challenges in risk management, especially the team collaboration challenges, where there is no standardized process for teams to communicate collaboratively. Team collaboration and the knowledge sharing is a vital resource for a large Scrum team's success. Hence, finding a dynamic technique that facilitates team collaboration in the LeSS environment is necessary. This paper proposes a risk management framework for LeSS using outer metadata requests. The proposed framework manages the outer requests amongst the distributed team. Therefore, it avoids missing team collaboration, risks, and threats to project completion. It also contributes to exchanging team skills and experience. The proposed framework is evaluated by applying it to two different case studies for large-scale Scrum projects. The evaluation results are given. The evaluation proved the effectiveness of the proposed framework.
引用
收藏
页码:99 / 109
页数:11
相关论文
共 34 条
[1]   An Empirical Investigation of Geographically Distributed Agile Development: The Agile Enterprise Architecture is a Communication Enabler [J].
Alzoubi, Yehia Ibrahim ;
Gill, Asif Qumer .
IEEE ACCESS, 2020, 8 :80269-80289
[2]   Empirical studies of geographically distributed agile development communication challenges: A systematic review [J].
Alzoubi, Yehia Ibrahim ;
Gill, Asif Qumer ;
Al-Ani, Ahmed .
INFORMATION & MANAGEMENT, 2016, 53 (01) :22-37
[3]   A Quantitative Framework for Task Allocation in Distributed Agile Software Development [J].
Aslam, Waqar ;
Ijaz, Farah .
IEEE ACCESS, 2018, 6 :15380-15390
[4]   Coordination Challenges in Large-Scale Software Development: A Case Study of Planning Misalignment in Hybrid Settings [J].
Bick, Saskia ;
Spohrer, Kai ;
Hoda, Rashina ;
Scheerer, Alexander ;
Heinzl, Armin .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2018, 44 (10) :932-950
[5]   Agile and Software Project Management Antipatterns: Clarifying the Partnership [J].
Castro Flores, Gabriela ;
Moreno, Ana M. ;
Peters, Lawrence .
IEEE SOFTWARE, 2021, 38 (05) :39-47
[6]   A Decision Model for Human Resource Allocation in Project Management of Software Development [J].
Chiang, Hui Yi ;
Lin, Bertrand M. T. .
IEEE ACCESS, 2020, 8 :38073-38081
[7]   Implementing Large-Scale Agile Frameworks: Challenges and Recommendations [J].
Conboy, Kieran ;
Carroll, Noel .
IEEE SOFTWARE, 2019, 36 (02) :44-50
[8]   Exploring software development at the very large-scale: a revelatory case study and research agenda for agile method adaptation [J].
Dingsoyr, Torgeir ;
Moe, Nils Brede ;
Faegri, Tor Erlend ;
Seim, Eva Amdahl .
EMPIRICAL SOFTWARE ENGINEERING, 2018, 23 (01) :490-520
[9]  
Esteki M., 2020, B ELECT ENG INF, V9, P1299, DOI [10.11591/EEI.V9I3.1905, DOI 10.11591/EEI.V9I3.1905]
[10]   Motivation and Satisfaction of Software Engineers [J].
Franca, Cesar ;
da Silva, Fabio Q. B. ;
Sharp, Helen .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2020, 46 (02) :118-140