网状软件进化的系统发育分析

A. Mori, M. Hashimoto
{"title":"网状软件进化的系统发育分析","authors":"A. Mori, M. Hashimoto","doi":"10.1109/MSR59073.2023.00074","DOIUrl":null,"url":null,"abstract":"In this paper, we apply techniques from phylogenetics for uncovering evolutionary dependencies among software versions. Phylogenetics is a part of computational molecular biology that addresses the inference of evolution among organisms based on differences/similarities in DNA sequences and morphology. We apply a tree differencing technique to abstract syntax trees to calculate a distance matrix, which is then used by a distance-based phylogenetic algorithm to infer an evolution network. Such a network allows us to identify merging and branching among versions without manually looking into the details of the source code. Experiments on ancient versions of the Emacs editor and the open source 3D printer firmware show that we can reproduce the evolution of the software and identify code import/merging across different lineages. We also discuss how the techniques identify the feature models among software variations. To the best of our knowledge, this paper is the first to report on a reticulate phylogenetic analysis of the software. It may offer a helpful method for gaining information on the evolution of the software.","PeriodicalId":317960,"journal":{"name":"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phylogenetic Analysis of Reticulate Software Evolution\",\"authors\":\"A. Mori, M. Hashimoto\",\"doi\":\"10.1109/MSR59073.2023.00074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we apply techniques from phylogenetics for uncovering evolutionary dependencies among software versions. Phylogenetics is a part of computational molecular biology that addresses the inference of evolution among organisms based on differences/similarities in DNA sequences and morphology. We apply a tree differencing technique to abstract syntax trees to calculate a distance matrix, which is then used by a distance-based phylogenetic algorithm to infer an evolution network. Such a network allows us to identify merging and branching among versions without manually looking into the details of the source code. Experiments on ancient versions of the Emacs editor and the open source 3D printer firmware show that we can reproduce the evolution of the software and identify code import/merging across different lineages. We also discuss how the techniques identify the feature models among software variations. To the best of our knowledge, this paper is the first to report on a reticulate phylogenetic analysis of the software. It may offer a helpful method for gaining information on the evolution of the software.\",\"PeriodicalId\":317960,\"journal\":{\"name\":\"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSR59073.2023.00074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR59073.2023.00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们应用系统遗传学的技术来揭示软件版本之间的进化依赖关系。系统遗传学是计算分子生物学的一部分,它根据DNA序列和形态的差异/相似性来推断生物体之间的进化。我们将树差分技术应用于抽象语法树来计算距离矩阵,然后使用基于距离的系统发育算法来推断进化网络。这样的网络允许我们识别版本之间的合并和分支,而无需手动查看源代码的细节。在旧版本的Emacs编辑器和开源3D打印机固件上的实验表明,我们可以重现软件的演变,并识别跨不同谱系的代码导入/合并。我们还讨论了这些技术如何在软件变体中识别特征模型。据我们所知,这篇论文是第一篇报道该软件的网状系统发育分析的文章。它可能提供一种有用的方法来获取有关软件发展的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phylogenetic Analysis of Reticulate Software Evolution
In this paper, we apply techniques from phylogenetics for uncovering evolutionary dependencies among software versions. Phylogenetics is a part of computational molecular biology that addresses the inference of evolution among organisms based on differences/similarities in DNA sequences and morphology. We apply a tree differencing technique to abstract syntax trees to calculate a distance matrix, which is then used by a distance-based phylogenetic algorithm to infer an evolution network. Such a network allows us to identify merging and branching among versions without manually looking into the details of the source code. Experiments on ancient versions of the Emacs editor and the open source 3D printer firmware show that we can reproduce the evolution of the software and identify code import/merging across different lineages. We also discuss how the techniques identify the feature models among software variations. To the best of our knowledge, this paper is the first to report on a reticulate phylogenetic analysis of the software. It may offer a helpful method for gaining information on the evolution of the software.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信