{"title":"工程人工智能规划系统的软件开发生命周期概念化","authors":"Ilche Georgievski","doi":"10.1109/CAIN58948.2023.00019","DOIUrl":null,"url":null,"abstract":"Given the prominence of AI planning in research and industry, the development of AI planning software and its integration into production architectures are becoming important. However, building and managing planning software is a complex and expertise-dependent process without methodological support that would ensure AI planning applications have high quality and industrial strength. To that end, we propose a lifecycle for developing AI planning systems that consists of ten phases related to the design, development, and operation of planning systems.","PeriodicalId":175580,"journal":{"name":"2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Conceptualising Software Development Lifecycle for Engineering AI Planning Systems\",\"authors\":\"Ilche Georgievski\",\"doi\":\"10.1109/CAIN58948.2023.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given the prominence of AI planning in research and industry, the development of AI planning software and its integration into production architectures are becoming important. However, building and managing planning software is a complex and expertise-dependent process without methodological support that would ensure AI planning applications have high quality and industrial strength. To that end, we propose a lifecycle for developing AI planning systems that consists of ten phases related to the design, development, and operation of planning systems.\",\"PeriodicalId\":175580,\"journal\":{\"name\":\"2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIN58948.2023.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIN58948.2023.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conceptualising Software Development Lifecycle for Engineering AI Planning Systems
Given the prominence of AI planning in research and industry, the development of AI planning software and its integration into production architectures are becoming important. However, building and managing planning software is a complex and expertise-dependent process without methodological support that would ensure AI planning applications have high quality and industrial strength. To that end, we propose a lifecycle for developing AI planning systems that consists of ten phases related to the design, development, and operation of planning systems.
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