{"title":"Multi-VisioTrace:跟踪可视化工具","authors":"Adriana Rodrigues, Maria Lencastre, G. C. Filho","doi":"10.1109/QUATIC.2016.019","DOIUrl":null,"url":null,"abstract":"Traceability supports various activities of the software development process, such as impact analysis of changes, reuse, maintenance, verification and validation. The graphical representation of traceability information is very important to its effective use in those activities. Visualization tools can help in the interaction with large amount of data, in the identification of characteristics, patterns and trends. However, visualization tools are usually built for a specific domain, and generally support a single visualization technique. Therefore, they do not meet appropriately the needs of different contexts. This paper presents a tool to support traceability visualization that provides different visualization techniques, allowing the user to choose the most appropriate to his/her task; the evaluation results of the proposed tool are presented through two studies.","PeriodicalId":157671,"journal":{"name":"2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Multi-VisioTrace: Traceability Visualization Tool\",\"authors\":\"Adriana Rodrigues, Maria Lencastre, G. C. Filho\",\"doi\":\"10.1109/QUATIC.2016.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traceability supports various activities of the software development process, such as impact analysis of changes, reuse, maintenance, verification and validation. The graphical representation of traceability information is very important to its effective use in those activities. Visualization tools can help in the interaction with large amount of data, in the identification of characteristics, patterns and trends. However, visualization tools are usually built for a specific domain, and generally support a single visualization technique. Therefore, they do not meet appropriately the needs of different contexts. This paper presents a tool to support traceability visualization that provides different visualization techniques, allowing the user to choose the most appropriate to his/her task; the evaluation results of the proposed tool are presented through two studies.\",\"PeriodicalId\":157671,\"journal\":{\"name\":\"2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QUATIC.2016.019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QUATIC.2016.019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traceability supports various activities of the software development process, such as impact analysis of changes, reuse, maintenance, verification and validation. The graphical representation of traceability information is very important to its effective use in those activities. Visualization tools can help in the interaction with large amount of data, in the identification of characteristics, patterns and trends. However, visualization tools are usually built for a specific domain, and generally support a single visualization technique. Therefore, they do not meet appropriately the needs of different contexts. This paper presents a tool to support traceability visualization that provides different visualization techniques, allowing the user to choose the most appropriate to his/her task; the evaluation results of the proposed tool are presented through two studies.