Efficiently identifying object production sites

机译：有效地识别对象生产站点

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Most programming environments are shipped with accurate memory profilers. Although efficient in their analyses, memory profilers traditionally output textual listing reports, thus reducing the memory profile exploration as a set of textual pattern-matching operations. Memory blueprint visually reports the memory consumption of a program execution. A number of simple visual cues are provided to identify direct and indirect object production sites, key ingredients to efficiently address memory issues. Scalability is addressed by restricting the scope of interest both in the call graph and the considered classes. Memory blueprint has been implemented in the Pharo programming language, and is available under the MIT license.

机译：大多数编程环境都配有精确的内存分析器。虽然在分析中有效，但内存分析器传统上输出文本上市报告，从而将内存配置文件探索减少为一组文本模式匹配操作。内存蓝图可视报告程序执行的内存消耗。提供了许多简单的视觉线索来识别直接和间接的对象生产站点，以有效地解决内存问题的关键成分。通过限制呼叫图和所考虑的类别中的感兴趣范围来解决可扩展性。内存蓝图已在Pharo编程语言中实现，可在MIT许可证下提供。

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《International Conference on Software Analysis, Evolution, and Reengineering》|2015年||共5页
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Infante Alejandro; Bergel Alexandre;
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中图分类计算技术、计算机技术;
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Efficiently identifying object production sites

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