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A Process Definition Language For Guiding Multiuser Design

指导多用户设计的流程定义语言

基本信息

批准号：
0204321
负责人：
Leon Osterweil
金额：
$ 15万
依托单位：
University of Massachusetts Amherst
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2002
资助国家：
美国
起止时间：
2002-07-15 至 2004-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204321&HistoricalAwards=false
关键词：
Process Definition Language Guiding Multiuser

项目摘要

Effective processes are of fundamental importance to manufacturing,government, engineering, and management. In all of these areas greaterunderstanding and control of key processes can lead to improvedeffectiveness. For the past 15 years, it has also been recognized thatprocesses are fundamental to software development, and that effectivecontrol of processes can lead to similar benefits, such as improvedunderstanding, coordination, efficiency, and automation. It has been hopedthat this would lead to reductions in software development cost,improvements in software product quality, and reductions in softwaredevelopment time. Our hypothesis is that progress towards these goals canbe speeded by establishing a scientific basis upon which to build theprocess technologies that will support more effective software production.This research project will lead to the development of needed improvementsto the Little-JIL process definition language, and the Julietteinterpreter. These improvements will be validated by programming andrunning multiuser, iterative software design processes that are effectivein integrating the activities of humans and computer automation. Theseprocesses should be of considerable value in themselves. Theirdevelopment, moreover, will sharpen and validate the Little-JIL processlanguage, resulting in clearer understandings of the underlyingrequirements for effective process definition languages.

有效的过程对于制造业、政府、工程和管理都是至关重要的。在所有这些领域中，对关键过程的更好理解和控制可以提高效率。在过去的15年里，人们也认识到过程是软件开发的基础，对过程的有效控制可以带来类似的好处，比如改进的理解、协调、效率和自动化。人们希望这将导致软件开发成本的降低，软件产品质量的提高和软件开发时间的减少。我们的假设是，通过建立一个科学的基础来建立支持更有效的软件生产的过程技术，可以加速实现这些目标的进程。这个研究项目将导致对Little-JIL过程定义语言和Juliette解释器的必要改进。这些改进将通过编程和运行多用户、迭代的软件设计过程来验证，这些过程在整合人类活动和计算机自动化方面是有效的。这些过程本身应该具有相当大的价值。此外，它们的开发将使Little-JIL过程语言更加清晰和有效，从而更清楚地理解有效过程定义语言的基本要求。