{"title":"方面挖掘存在的C预处理器","authors":"Bram Adams, B. Rompaey, Celina Berg, Y. Coady","doi":"10.1145/1404953.1404954","DOIUrl":null,"url":null,"abstract":"In systems software, the C preprocessor is heavily used to manage variability and improve efficiency. It is the primary tool to model crosscutting concerns in a very fine-grained way, but leads to extremely tangled and scattered preprocessor code. In this paper, we explore the process of aspect mining and extraction in the context of preprocessor-driven systems. Our aim is to identify both opportunities (extracting conditional compilation into advice) and pitfalls (mining on unpreprocessed code) in migrating preprocessor code to aspects. We distill five trade-offs which give a first impression about the usefulness of replacing the preprocessor by aspects. Preprocessor-driven systems prove to be a real challenge for aspect mining, but they could become on the other hand one of the most promising applications of AOP.","PeriodicalId":210171,"journal":{"name":"LATE@AOSD","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Aspect mining in the presence of the C preprocessor\",\"authors\":\"Bram Adams, B. Rompaey, Celina Berg, Y. Coady\",\"doi\":\"10.1145/1404953.1404954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In systems software, the C preprocessor is heavily used to manage variability and improve efficiency. It is the primary tool to model crosscutting concerns in a very fine-grained way, but leads to extremely tangled and scattered preprocessor code. In this paper, we explore the process of aspect mining and extraction in the context of preprocessor-driven systems. Our aim is to identify both opportunities (extracting conditional compilation into advice) and pitfalls (mining on unpreprocessed code) in migrating preprocessor code to aspects. We distill five trade-offs which give a first impression about the usefulness of replacing the preprocessor by aspects. Preprocessor-driven systems prove to be a real challenge for aspect mining, but they could become on the other hand one of the most promising applications of AOP.\",\"PeriodicalId\":210171,\"journal\":{\"name\":\"LATE@AOSD\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LATE@AOSD\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1404953.1404954\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LATE@AOSD","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1404953.1404954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aspect mining in the presence of the C preprocessor
In systems software, the C preprocessor is heavily used to manage variability and improve efficiency. It is the primary tool to model crosscutting concerns in a very fine-grained way, but leads to extremely tangled and scattered preprocessor code. In this paper, we explore the process of aspect mining and extraction in the context of preprocessor-driven systems. Our aim is to identify both opportunities (extracting conditional compilation into advice) and pitfalls (mining on unpreprocessed code) in migrating preprocessor code to aspects. We distill five trade-offs which give a first impression about the usefulness of replacing the preprocessor by aspects. Preprocessor-driven systems prove to be a real challenge for aspect mining, but they could become on the other hand one of the most promising applications of AOP.