{"title":"用于静态分析的软件产品线:OPAL框架","authors":"Michael Eichberg, Ben Hermann","doi":"10.1145/2614628.2614630","DOIUrl":null,"url":null,"abstract":"Implementations of static analyses are usually tailored toward a single goal to be efficient, hampering reusability and adaptability of the components of an analysis. To solve these issues, we propose to implement static analyses as highly-configurable software product lines (SPLs). Furthermore, we also discuss an implementation of an SPL for static analyses -- called OPAL -- that uses advanced language features offered by the Scala programming language to get an easily adaptable and (type-)safe software product line.\n OPAL is a general purpose library for static analysis of Java Bytecode that is already successfully used. We present OPAL and show how a design based on software produce line engineering benefits the implementation of static analyses with the framework.","PeriodicalId":198433,"journal":{"name":"State Of the Art in Java Program Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"A software product line for static analyses: the OPAL framework\",\"authors\":\"Michael Eichberg, Ben Hermann\",\"doi\":\"10.1145/2614628.2614630\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Implementations of static analyses are usually tailored toward a single goal to be efficient, hampering reusability and adaptability of the components of an analysis. To solve these issues, we propose to implement static analyses as highly-configurable software product lines (SPLs). Furthermore, we also discuss an implementation of an SPL for static analyses -- called OPAL -- that uses advanced language features offered by the Scala programming language to get an easily adaptable and (type-)safe software product line.\\n OPAL is a general purpose library for static analysis of Java Bytecode that is already successfully used. We present OPAL and show how a design based on software produce line engineering benefits the implementation of static analyses with the framework.\",\"PeriodicalId\":198433,\"journal\":{\"name\":\"State Of the Art in Java Program Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"State Of the Art in Java Program Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2614628.2614630\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"State Of the Art in Java Program Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2614628.2614630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A software product line for static analyses: the OPAL framework
Implementations of static analyses are usually tailored toward a single goal to be efficient, hampering reusability and adaptability of the components of an analysis. To solve these issues, we propose to implement static analyses as highly-configurable software product lines (SPLs). Furthermore, we also discuss an implementation of an SPL for static analyses -- called OPAL -- that uses advanced language features offered by the Scala programming language to get an easily adaptable and (type-)safe software product line.
OPAL is a general purpose library for static analysis of Java Bytecode that is already successfully used. We present OPAL and show how a design based on software produce line engineering benefits the implementation of static analyses with the framework.