子类实例化分布

Amy Wheeler, D. Binkley
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引用次数: 0

摘要

在执行过程中,面向对象程序通常会创建大量对象。本研究考虑了每个类共享一个公共su的对象的分布。如果这个分布是均匀的,那么所有子类被实例化的可能性是相等的。然而,如果不是这样,那么缺乏统一性就可以通过给予统治阶级(或阶级)优惠来加以利用。例如,测试人员可能会在主导类上花费更多的测试资源,而工程师可能会从更主导的类开始重构代码。为了研究子类实例化的分布,我们使用了8个Java程序,这些程序包含近50万行代码和3000多个类。结果表明,除了少数不常见的情况外,大多数分布都严重倾斜。
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Subclass Instantiation Distribution
During execution, an objected-oriented program typically creates a large number of objects. This research considers the distribution of those objects that share a common su per class. If this distribution is uniform then all subclasses are equally likely to be instantiated. However, if not, then the lack of uniformity can be exploited by giving preferential treatment to the dominant class (or classes). For example, a tester might spend greater testing resources on the dominant class while an engineer refactoring the code might begin with a more dominant class. An experiment designed to investigate the distribution of subclass instantiations was performed using eight Java programs containing almost half a million lines of code and just over three thousand classes. The results show that outside a few infrequent instances, most distributions are heavily skewed.
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