{"title":"为系统评价开发相关实验检测的搜索策略","authors":"Ó. Dieste, O.A.G. Padua","doi":"10.1109/ESEM.2007.39","DOIUrl":null,"url":null,"abstract":"Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.","PeriodicalId":124420,"journal":{"name":"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"94","resultStr":"{\"title\":\"Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews\",\"authors\":\"Ó. Dieste, O.A.G. Padua\",\"doi\":\"10.1109/ESEM.2007.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.\",\"PeriodicalId\":124420,\"journal\":{\"name\":\"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"94\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESEM.2007.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESEM.2007.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews
Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.
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