Andreas Jedlitschka, M. Ciolkowski, C. Denger, B. Freimut, Andreas Schlichting
{"title":"成功技术转移的相关信息来源:以检查为例的调查","authors":"Andreas Jedlitschka, M. Ciolkowski, C. Denger, B. Freimut, Andreas Schlichting","doi":"10.1109/ESEM.2007.60","DOIUrl":null,"url":null,"abstract":"A systematic approach to decision making in software engineering is required, for instance, if an organization aims at achieving CMMI level three. Rational decision making regarding the selection and introduction of SE technologies requires adequate information about their suitability for the intended organizational context. Research is often unable to provide such information, and this could be one reason why promising techniques are sometimes not adopted in practice. From a research point of view, successful technology transfer requires knowing which information decision makers in industry need, and where they actually look for it. With this knowledge, empirical research can strive to produce the needed information in order to increase the likelihood of successful technology adoption. To address these questions, we conducted an online survey among German software industry decision makers. To focus the survey, we used inspections as an exemplary technology. We invited 9653 companies to participate, from which we received 92 fully completed questionnaires. Our main findings are that information regarding the impact of technologies on product quality, cost, and development time, as well as on technology cost-benefit ratio is considered most important among decision makers. The preferred sources of information are colleagues, textbooks, and industry workshops.","PeriodicalId":124420,"journal":{"name":"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":"{\"title\":\"Relevant Information Sources for Successful Technology Transfer: A Survey Using Inspections as an Example\",\"authors\":\"Andreas Jedlitschka, M. Ciolkowski, C. Denger, B. Freimut, Andreas Schlichting\",\"doi\":\"10.1109/ESEM.2007.60\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A systematic approach to decision making in software engineering is required, for instance, if an organization aims at achieving CMMI level three. Rational decision making regarding the selection and introduction of SE technologies requires adequate information about their suitability for the intended organizational context. Research is often unable to provide such information, and this could be one reason why promising techniques are sometimes not adopted in practice. From a research point of view, successful technology transfer requires knowing which information decision makers in industry need, and where they actually look for it. With this knowledge, empirical research can strive to produce the needed information in order to increase the likelihood of successful technology adoption. To address these questions, we conducted an online survey among German software industry decision makers. To focus the survey, we used inspections as an exemplary technology. We invited 9653 companies to participate, from which we received 92 fully completed questionnaires. Our main findings are that information regarding the impact of technologies on product quality, cost, and development time, as well as on technology cost-benefit ratio is considered most important among decision makers. The preferred sources of information are colleagues, textbooks, and industry workshops.\",\"PeriodicalId\":124420,\"journal\":{\"name\":\"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"62\",\"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.2007.60\",\"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.2007.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relevant Information Sources for Successful Technology Transfer: A Survey Using Inspections as an Example
A systematic approach to decision making in software engineering is required, for instance, if an organization aims at achieving CMMI level three. Rational decision making regarding the selection and introduction of SE technologies requires adequate information about their suitability for the intended organizational context. Research is often unable to provide such information, and this could be one reason why promising techniques are sometimes not adopted in practice. From a research point of view, successful technology transfer requires knowing which information decision makers in industry need, and where they actually look for it. With this knowledge, empirical research can strive to produce the needed information in order to increase the likelihood of successful technology adoption. To address these questions, we conducted an online survey among German software industry decision makers. To focus the survey, we used inspections as an exemplary technology. We invited 9653 companies to participate, from which we received 92 fully completed questionnaires. Our main findings are that information regarding the impact of technologies on product quality, cost, and development time, as well as on technology cost-benefit ratio is considered most important among decision makers. The preferred sources of information are colleagues, textbooks, and industry workshops.