{"title":"Structured Synthesis Method: The Evidence Factory Tool","authors":"P. Santos, G. Travassos","doi":"10.1109/ESEM.2017.68","DOIUrl":null,"url":null,"abstract":"Background: research synthesis is still challenge in Software Engineering due to the heterogeneity of primary studies in the area. Also, it generates a significant volume of information which is complex to manage. Aims: to provide support to this kind of studies in SE. Method: we present the Evidence Factory, a tool designed to support the Structured Synthesis Method (SSM). SSM is a research synthesis method that can be used to aggregate both quantitative and qualitative studies. It is a kind of integrative synthesis method, such as meta-analysis, but has several features from interpretative methods, such as meta-ethnography, particularly those concerned with conceptual development. Results: the tool is a web-based infrastructure, which supports the organization of synthesis studies. Researchers can compare findings from different studies by modeling their results according to the evidence meta-model. After deciding whether the evidence can be combined, the tool automatically computes the uncertainty associated with the aggregated results using the formalisms from the Mathematical Theory of Evidence. Conclusion: the tool was used in real synthesis studies and is freely available for the SE community.","PeriodicalId":213866,"journal":{"name":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESEM.2017.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Background: research synthesis is still challenge in Software Engineering due to the heterogeneity of primary studies in the area. Also, it generates a significant volume of information which is complex to manage. Aims: to provide support to this kind of studies in SE. Method: we present the Evidence Factory, a tool designed to support the Structured Synthesis Method (SSM). SSM is a research synthesis method that can be used to aggregate both quantitative and qualitative studies. It is a kind of integrative synthesis method, such as meta-analysis, but has several features from interpretative methods, such as meta-ethnography, particularly those concerned with conceptual development. Results: the tool is a web-based infrastructure, which supports the organization of synthesis studies. Researchers can compare findings from different studies by modeling their results according to the evidence meta-model. After deciding whether the evidence can be combined, the tool automatically computes the uncertainty associated with the aggregated results using the formalisms from the Mathematical Theory of Evidence. Conclusion: the tool was used in real synthesis studies and is freely available for the SE community.