Liang, P., Jansen, A., Avgeriou, P., Tang, A. and Xu, L., 2011. Advanced quality prediction model for software architectural knowledge sharing. Journal of Systems and Software, 84 (5), 786-802 .
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In the field of software architecture, there has been a paradigm shift from describing the outcome of architecting process to describing the Architectural Knowledge (AK) created and used during architecting. To document this knowledge, a series of domain models have been proposed for defining the concepts and their relationships in the field of AK. To a large extent, the merit of this new paradigm is derived by sharing and reusing AK across organizations, especially in geographically distributed contexts. However, the employment of different AK domain models by different parties makes effective AK sharing challenging. Firstly, as it needs to be mapped from one domain model to another. Secondly, as the AK sharing quality is difficult to predict due to the involvement of large amount of knowledge instances. Initial work has been done on predicting the quality and cost of AK sharing. However, this work lacks validation in AK sharing practices. In this paper, the advanced mapping quality prediction model (AMQPM) is proposed and defined based on the refinement of the mapping quality prediction models (MQPM) proposed in our previous work. This AMQPM is validated in several industrial AK sharing case studies. The findings show that compared to earlier prediction models (i) the predictions of recall rate of the AK sharing quality is improved using AMQPM; (ii) AMQPM has the best balance between effort and accuracy for prediction.
|Subjects:||Generalities > Computer Science and Informatics|
|Group:||School of Design, Engineering & Computing > Software Systems Research Centre|
|Deposited By:||Dr. Lai Xu|
|Deposited On:||05 Apr 2011 13:57|
|Last Modified:||07 Mar 2013 15:42|
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