cathartic
发表于 2025-3-25 04:22:05
ario- and risk-driven view of the executing system. This information allows an architect to compare architectural alternatives and weigh trade-offs between multiple design goals, such as system performance, reliability, and resource consumption. XTEAM provides the extensibility to easily accommodate
流浪者
发表于 2025-3-25 09:24:17
Manfred Scholzproach is superior to the existing approaches in many respects: 1) we assume a while-parallel language with a synchronization construct, 2) neither a pending event infrastructure nor a consume statement are required, 3) a dynamic (instead of static) binding is assumed, 4) no restriction is made on t
落叶剂
发表于 2025-3-25 14:58:53
Manfred Scholz . that expresses the amount of representational coupling that is inherent to the system. Finally, we show that despite its non-quantitative nature our measure can be useful in identifying candidate methods for refactoring. We demonstrate this by applying our measure to several examples in the liter
性冷淡
发表于 2025-3-25 19:44:23
Manfred Scholzr, the results are accompanied with useful metadata using a named entity recognition technique. Upon evaluating our system in a set of common programming queries, in a dataset based on post links, and against a similar tool, we argue that our approach can be useful for recommending ready-to-use snip
Aromatic
发表于 2025-3-25 22:17:24
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小故事
发表于 2025-3-26 03:41:53
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fallible
发表于 2025-3-26 06:05:14
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和蔼
发表于 2025-3-26 10:05:41
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CARK
发表于 2025-3-26 13:03:49
Manfred Scholzwo novel metrics that measure these analyses’ precision after isolating the influence of class-hierarchy and intermediate representation. Our results establish that the minor differences in the class hierarchy and IR do not impact program analysis significantly. Besides, they reveal the sources of u
有恶意
发表于 2025-3-26 19:15:42
Manfred Scholzransformation rule is coupled with instance level migration rules from the source to the target model and vice versa. These coupled rules can be composed to create compound transformations at the model level inducing compound transformations at the instance level. This approach guarantees safe evolu