{"title":"RTPA-based Software Generation by AI Programming","authors":"Yingxu Wang, James Y. Xu","doi":"10.1109/ICCICC46617.2019.9146036","DOIUrl":null,"url":null,"abstract":"AI programming toward autonomous software generation is not only a highly demanded technology by the software industry, but also a hard challenge to the theories of software engineering and computational intelligence. A methodology and tool for autonomous program generation (APG) are recently developed based on Real-Time Process Algebra (RTPA). This paper demonstrates an experimental result of autonomous code generation on a digital clock system by the APG tool. The experimental results indicate a novel approach towards AI programming for machine-enabled software generation theories and technologies.","PeriodicalId":294902,"journal":{"name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICC46617.2019.9146036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
AI programming toward autonomous software generation is not only a highly demanded technology by the software industry, but also a hard challenge to the theories of software engineering and computational intelligence. A methodology and tool for autonomous program generation (APG) are recently developed based on Real-Time Process Algebra (RTPA). This paper demonstrates an experimental result of autonomous code generation on a digital clock system by the APG tool. The experimental results indicate a novel approach towards AI programming for machine-enabled software generation theories and technologies.
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