{"title":"TETRA是一套计算技术债务本金和利息的技术和工具","authors":"B. Kontsevoi, E. Soroka, S. Terekhov","doi":"10.1109/TechDebt.2019.00021","DOIUrl":null,"url":null,"abstract":"The paper covers the company's proprietary approach to the assessment of software product quality and measurement of technical debt. In the paper, the authors state that the software product quality is the amount of various technical debts embedded into the product and delivered to end-users. Similar to the fact that any debt can be paid, the software product quality can be efficiently managed and measured by a set of techniques, parameters, and dimensions. The authors share the details of the company proprietary approach to technical debt management done with the help of the Technical DebT Reduction plAtform, TETRA. They share the measurement parameters, tools and major dimension for the assessment.","PeriodicalId":197657,"journal":{"name":"2019 IEEE/ACM International Conference on Technical Debt (TechDebt)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"TETRA, as a set of Techniques and Tools for Calculating Technical Debt Principal and Interest\",\"authors\":\"B. Kontsevoi, E. Soroka, S. Terekhov\",\"doi\":\"10.1109/TechDebt.2019.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper covers the company's proprietary approach to the assessment of software product quality and measurement of technical debt. In the paper, the authors state that the software product quality is the amount of various technical debts embedded into the product and delivered to end-users. Similar to the fact that any debt can be paid, the software product quality can be efficiently managed and measured by a set of techniques, parameters, and dimensions. The authors share the details of the company proprietary approach to technical debt management done with the help of the Technical DebT Reduction plAtform, TETRA. They share the measurement parameters, tools and major dimension for the assessment.\",\"PeriodicalId\":197657,\"journal\":{\"name\":\"2019 IEEE/ACM International Conference on Technical Debt (TechDebt)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM International Conference on Technical Debt (TechDebt)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TechDebt.2019.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM International Conference on Technical Debt (TechDebt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TechDebt.2019.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TETRA, as a set of Techniques and Tools for Calculating Technical Debt Principal and Interest
The paper covers the company's proprietary approach to the assessment of software product quality and measurement of technical debt. In the paper, the authors state that the software product quality is the amount of various technical debts embedded into the product and delivered to end-users. Similar to the fact that any debt can be paid, the software product quality can be efficiently managed and measured by a set of techniques, parameters, and dimensions. The authors share the details of the company proprietary approach to technical debt management done with the help of the Technical DebT Reduction plAtform, TETRA. They share the measurement parameters, tools and major dimension for the assessment.
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