软件工程中的调查指南:注释评论

J. Molléri, K. Petersen, E. Mendes
{"title":"软件工程中的调查指南:注释评论","authors":"J. Molléri, K. Petersen, E. Mendes","doi":"10.1145/2961111.2962619","DOIUrl":null,"url":null,"abstract":"Background: Survey is a method of research aiming to gather data from a large population of interest. Despite being extensively used in software engineering, survey-based research faces several challenges, such as selecting a representative population sample and designing the data collection instruments. Objective: This article aims to summarize the existing guidelines, supporting instruments and recommendations on how to conduct and evaluate survey-based research. Methods: A systematic search using manual search and snowballing techniques were used to identify primary studies supporting survey research in software engineering. We used an annotated review to present the findings, describing the references of interest in the research topic. Results: The summary provides a description of 15 available articles addressing the survey methodology, based upon which we derived a set of recommendations on how to conduct survey research, and their impact in the community. Conclusion: Survey-based research in software engineering has its particular challenges, as illustrated by several articles in this review. The annotated review can contribute by raising awareness of such challenges and present the proper recommendations to overcome them.","PeriodicalId":208212,"journal":{"name":"Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":"{\"title\":\"Survey Guidelines in Software Engineering: An Annotated Review\",\"authors\":\"J. Molléri, K. Petersen, E. Mendes\",\"doi\":\"10.1145/2961111.2962619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Survey is a method of research aiming to gather data from a large population of interest. Despite being extensively used in software engineering, survey-based research faces several challenges, such as selecting a representative population sample and designing the data collection instruments. Objective: This article aims to summarize the existing guidelines, supporting instruments and recommendations on how to conduct and evaluate survey-based research. Methods: A systematic search using manual search and snowballing techniques were used to identify primary studies supporting survey research in software engineering. We used an annotated review to present the findings, describing the references of interest in the research topic. Results: The summary provides a description of 15 available articles addressing the survey methodology, based upon which we derived a set of recommendations on how to conduct survey research, and their impact in the community. Conclusion: Survey-based research in software engineering has its particular challenges, as illustrated by several articles in this review. The annotated review can contribute by raising awareness of such challenges and present the proper recommendations to overcome them.\",\"PeriodicalId\":208212,\"journal\":{\"name\":\"Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"70\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2961111.2962619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2961111.2962619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70

摘要

背景:调查是一种研究方法,旨在从大量感兴趣的人群中收集数据。尽管在软件工程中得到了广泛的应用,基于调查的研究仍然面临着一些挑战,如选择一个有代表性的人口样本和设计数据收集工具。目的:本文旨在总结现有的指导方针,支持工具和建议如何开展和评估基于调查的研究。方法:使用人工搜索和滚雪球技术进行系统搜索,以确定支持软件工程调查研究的主要研究。我们使用带注释的综述来呈现研究结果,描述对研究主题感兴趣的参考文献。结果:摘要提供了关于调查方法的15篇可用文章的描述,在此基础上,我们得出了一组关于如何进行调查研究及其在社区中的影响的建议。结论:软件工程中基于调查的研究有其特殊的挑战,正如本综述中的几篇文章所说明的那样。带注释的审查有助于提高对这些挑战的认识,并提出克服这些挑战的适当建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey Guidelines in Software Engineering: An Annotated Review
Background: Survey is a method of research aiming to gather data from a large population of interest. Despite being extensively used in software engineering, survey-based research faces several challenges, such as selecting a representative population sample and designing the data collection instruments. Objective: This article aims to summarize the existing guidelines, supporting instruments and recommendations on how to conduct and evaluate survey-based research. Methods: A systematic search using manual search and snowballing techniques were used to identify primary studies supporting survey research in software engineering. We used an annotated review to present the findings, describing the references of interest in the research topic. Results: The summary provides a description of 15 available articles addressing the survey methodology, based upon which we derived a set of recommendations on how to conduct survey research, and their impact in the community. Conclusion: Survey-based research in software engineering has its particular challenges, as illustrated by several articles in this review. The annotated review can contribute by raising awareness of such challenges and present the proper recommendations to overcome them.
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