{"title":"在自动化应用的背景下评估软件工程方法","authors":"Alpana Dubey","doi":"10.1109/INDIN.2011.6034944","DOIUrl":null,"url":null,"abstract":"Modern control / automation applications are based on complex and large scale software system. Hence, an effective adoption of software engineering best practices is required in the automation application development lifecycle (AADLC) which often seems to be not well practiced. This paper presents a critical inspection on the state-of-the-art software engineering practices, methods, and tools used in AADLC as well as evaluation of their suitability.","PeriodicalId":378407,"journal":{"name":"2011 9th IEEE International Conference on Industrial Informatics","volume":"341 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Evaluating software engineering methods in the context of automation applications\",\"authors\":\"Alpana Dubey\",\"doi\":\"10.1109/INDIN.2011.6034944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern control / automation applications are based on complex and large scale software system. Hence, an effective adoption of software engineering best practices is required in the automation application development lifecycle (AADLC) which often seems to be not well practiced. This paper presents a critical inspection on the state-of-the-art software engineering practices, methods, and tools used in AADLC as well as evaluation of their suitability.\",\"PeriodicalId\":378407,\"journal\":{\"name\":\"2011 9th IEEE International Conference on Industrial Informatics\",\"volume\":\"341 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 9th IEEE International Conference on Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2011.6034944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 9th IEEE International Conference on Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2011.6034944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating software engineering methods in the context of automation applications
Modern control / automation applications are based on complex and large scale software system. Hence, an effective adoption of software engineering best practices is required in the automation application development lifecycle (AADLC) which often seems to be not well practiced. This paper presents a critical inspection on the state-of-the-art software engineering practices, methods, and tools used in AADLC as well as evaluation of their suitability.