Abstract
Our motivation is to determine whether risks such as implementation error-proneness can be isolated into three types of containers at design time. This paper identifies several container candidates in other research that fit the risk container concept. Two industrial case studies were used to determine which of three container types tested is most effective at isolating and predicting at design time the risk of implementation error-proneness. We found that Design Rule Containers were more effective than Use Case and Resource Containers.
Cite
CITATION STYLE
Leigh, A., Wermelinger, M., & Zisman, A. (2017). Software architecture risk containers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10475 LNCS, pp. 171–179). Springer Verlag. https://doi.org/10.1007/978-3-319-65831-5_12
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