{"title":"使用模糊TOPSIS确定DevOps成熟度模型的优先级","authors":"Ankur Kumar, M. Nadeem, Mohammad Shameem","doi":"10.1145/3593434.3594241","DOIUrl":null,"url":null,"abstract":"DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.","PeriodicalId":178596,"journal":{"name":"Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prioritization of DevOps Maturity models using Fuzzy TOPSIS\",\"authors\":\"Ankur Kumar, M. Nadeem, Mohammad Shameem\",\"doi\":\"10.1145/3593434.3594241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.\",\"PeriodicalId\":178596,\"journal\":{\"name\":\"Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3593434.3594241\",\"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 27th International Conference on Evaluation and Assessment in Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3593434.3594241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prioritization of DevOps Maturity models using Fuzzy TOPSIS
DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.
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