Combining agile software projects and large-scale organizational agility

2008 ◽  
Vol 13 (2) ◽  
pp. 183-193 ◽  
Author(s):  
Petri Kettunen ◽  
Maarit Laanti
IET Software ◽  
2014 ◽  
Vol 8 (6) ◽  
pp. 245-257 ◽  
Author(s):  
Srikrishnan Sundararajan ◽  
Marath Bhasi ◽  
Pramod K. Vijayaraghavan

2021 ◽  
pp. 3-11
Author(s):  
Suddhasvatta Das ◽  
Kevin Gary

AbstractDue to the fast-paced nature of the software industry and the success of small agile projects, researchers and practitioners are interested in scaling agile processes to larger projects. Agile software development (ASD) has been growing in popularity for over two decades. With the success of small-scale agile transformation, organizations started to focus on scaling agile. There is a scarcity of literature in this field making it harder to find plausible evidence to identify the science behind large scale agile transformation. The objective of this paper is to present a better understanding of the current state of research in the field of scaled agile transformation and explore research gaps. This tertiary study identifies seven relevant peer reviewed studies and reports research findings and future research avenues.


2021 ◽  
Author(s):  
Jaweria Sultana

The primary objective of this research is to investigate the adaptability of the Scrum framework for large scale projects. A two phase approach has been undertaken towards the goal. The first phase involves conducting a systematic literature review to identify and elaborate scaling practices used in the current industry. The review also identifies the challenges faced by the developers when the Scrum framework is used for the development of large projects. The second phase involves the construction of a simulation model to analyze the dynamic behavior of the Scrum framework for large projects. The systematic literature review revealed that the major challenge while scaling Scrum is ensuring good communication among project members. The communication overhead was incorporated in the system dynamic model of the Scrum framework. The simulation results showed that there is a reduction in work rate when number of personnel is increased due to the increasing communication overhead.


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