适应性软件工程的遗传改进(主题演讲)

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2014-06-02 DOI:10.1145/2593929.2600116

M. Harman, Yue Jia, W. Langdon, J. Petke, Iman Hemati Moghadam, S. Yoo, Fan Wu

{"title":"适应性软件工程的遗传改进(主题演讲)","authors":"M. Harman, Yue Jia, W. Langdon, J. Petke, Iman Hemati Moghadam, S. Yoo, Fan Wu","doi":"10.1145/2593929.2600116","DOIUrl":null,"url":null,"abstract":"This paper presents a brief outline of an approach to online genetic improvement. We argue that existing progress in genetic improvement can be exploited to support adaptivity. We illustrate our proposed approach with a 'dreaming smart device' example that combines online and offline machine learning and optimisation.","PeriodicalId":168314,"journal":{"name":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"48","resultStr":"{\"title\":\"Genetic improvement for adaptive software engineering (keynote)\",\"authors\":\"M. Harman, Yue Jia, W. Langdon, J. Petke, Iman Hemati Moghadam, S. Yoo, Fan Wu\",\"doi\":\"10.1145/2593929.2600116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a brief outline of an approach to online genetic improvement. We argue that existing progress in genetic improvement can be exploited to support adaptivity. We illustrate our proposed approach with a 'dreaming smart device' example that combines online and offline machine learning and optimisation.\",\"PeriodicalId\":168314,\"journal\":{\"name\":\"International Symposium on Software Engineering for Adaptive and Self-Managing Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"48\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Software Engineering for Adaptive and Self-Managing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2593929.2600116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2593929.2600116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 48

摘要

本文简要介绍了一种在线遗传改良方法。我们认为，现有的进展，遗传改良可以利用，以支持适应性。我们用一个结合了在线和离线机器学习和优化的“梦想智能设备”示例来说明我们提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Genetic improvement for adaptive software engineering (keynote)

This paper presents a brief outline of an approach to online genetic improvement. We argue that existing progress in genetic improvement can be exploited to support adaptivity. We illustrate our proposed approach with a 'dreaming smart device' example that combines online and offline machine learning and optimisation.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Symposium on Software Engineering for Adaptive and Self-Managing Systems

自引率

0.00%

发文量