S. Khaddaj, Y. K. Makoondlall, B. Makoond, Shyam Chivukula, K. Keerthi
{"title":"ZDLC:走向自动化的软件构建和迁移","authors":"S. Khaddaj, Y. K. Makoondlall, B. Makoond, Shyam Chivukula, K. Keerthi","doi":"10.1109/DCABES.2015.11","DOIUrl":null,"url":null,"abstract":"The construction of modern software projects with a multitude of quality requirements is a challenging and complex task particularly for large scale systems. Underestimating this complexity may result in project failures at worst or the delivery of poor quality products that are plagued with software defects at best. However, introducing scientific rigor at every step of the software development life cycle (SDLC) can reduce defect leakage through the different stages. While this can improve quality considerably it might affect upfront cost and speed of delivery. Thus, there is a clear need to introduce automation in software production and defect tracking. The Zero Deviation Life Cycle (ZDLC) framework addresses this conflict i.e. Quality vs. Cost, by proposing a methodology that can be applied not only to new projects but also to legacy applications.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ZDLC: Towards Automated Software Construction and Migration\",\"authors\":\"S. Khaddaj, Y. K. Makoondlall, B. Makoond, Shyam Chivukula, K. Keerthi\",\"doi\":\"10.1109/DCABES.2015.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The construction of modern software projects with a multitude of quality requirements is a challenging and complex task particularly for large scale systems. Underestimating this complexity may result in project failures at worst or the delivery of poor quality products that are plagued with software defects at best. However, introducing scientific rigor at every step of the software development life cycle (SDLC) can reduce defect leakage through the different stages. While this can improve quality considerably it might affect upfront cost and speed of delivery. Thus, there is a clear need to introduce automation in software production and defect tracking. The Zero Deviation Life Cycle (ZDLC) framework addresses this conflict i.e. Quality vs. Cost, by proposing a methodology that can be applied not only to new projects but also to legacy applications.\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ZDLC: Towards Automated Software Construction and Migration
The construction of modern software projects with a multitude of quality requirements is a challenging and complex task particularly for large scale systems. Underestimating this complexity may result in project failures at worst or the delivery of poor quality products that are plagued with software defects at best. However, introducing scientific rigor at every step of the software development life cycle (SDLC) can reduce defect leakage through the different stages. While this can improve quality considerably it might affect upfront cost and speed of delivery. Thus, there is a clear need to introduce automation in software production and defect tracking. The Zero Deviation Life Cycle (ZDLC) framework addresses this conflict i.e. Quality vs. Cost, by proposing a methodology that can be applied not only to new projects but also to legacy applications.