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An Intentional Perspective on Partial Agile Adoption
Kiv, Soreangsey; Heng, Samedi; Kolp, Manuel et al.
2017In The 12th International Conference on Software Technologies
Peer reviewed
 

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Keywords :
Agile Methods; Partial Adoption; Goal Modeling; Conceptual Model; Requirements Engineering
Abstract :
[en] Nowadays, the agile paradigm is one of the most important approaches used for software development besides structured and traditional life cycles. To facilitate its adoption and minimize the risks, different meta-models have been proposed trying to unify it. Yet, very few of them have focused on one fundamental question: How to partially adopt agile methods? Intuitively, choosing which practices to adopt from agile methods should be made based on their most prioritized goals in the software development process. To answer this issue, this paper proposes a model for partial agile methods adoption based on intentional (i.e., goal) perspectives. Hence, adoption can be considered as defining the goals in the model, corresponding to the intentions of the software development team. Next, by mapping with our goal-based model, suitable practices for adoption could be easily found. Moreover, the relationship between roles and their dependencies to achieve a specific goal can also be visualized. This will help the software development team to easily identify the vulnerabilities associated with each goal and, in turn, help to minimize risks.
Disciplines :
Computer science
Management information systems
Author, co-author :
Kiv, Soreangsey
Heng, Samedi ;  Université de Liège - ULiège > HEC Liège : UER > Digital Business
Kolp, Manuel
Wautelet, Yves
Language :
English
Title :
An Intentional Perspective on Partial Agile Adoption
Publication date :
2017
Event name :
The 12th International Conference on Software Technologies
Event date :
24-26 Juillet 2017
Audience :
International
Main work title :
The 12th International Conference on Software Technologies
Edition :
SciTePress
Pages :
116-127
Peer reviewed :
Peer reviewed
Commentary :
116--127
Available on ORBi :
since 05 November 2018

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