Information Theory-Based Measurement of Software Designs
基于信息论的软件设计测量
基本信息
- 批准号:9803853
- 负责人:
- 金额:$ 8.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1998
- 资助国家:美国
- 起止时间:1998-08-15 至 2000-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
9803853 Information Theory-Based Measurement of Software Designs is a research project that is defining and validating a new generation of software design metrics, based on information theory, which in turn, will facilitate a new level of cost- effective improvement to software quality. This project is developing metrics of cohesion and coupling on abstractions of software that are created during high-level design, so that quality problems may be detected early in the life cycle. Since many design abstractions are represented by graphs, metrics of graph attributes will likely find broad application. Many traditional software metrics count features, as if all items were equally important in the design process. Information theory is an alternative approach that focuses on the amount of information in an attribute, rather than a count. This project is establishing a new generation of information theory-based software design metrics by definition and empirical validation of metrics for cohesion and coupling. Collaboration with a large telecommunications equipment manufacturer is providing the basis for credible case studies, where the system studied is being developed by a group of professionals in an industrial environment, and is large enough to be comparable to other industry projects.***
9803853基于信息论的软件设计度量是一项研究项目,它正在定义和验证基于信息论的新一代软件设计度量,这反过来将促进软件质量成本效益改进的新水平。这个项目正在开发在高层设计期间创建的软件抽象的内聚力和耦合度量,以便可以在生命周期的早期发现质量问题。由于许多设计抽象都是由图表示的,因此图属性的度量可能会得到广泛的应用。许多传统的软件度量都将功能计算在内,就好像所有项目在设计过程中都同等重要。信息论是另一种方法,它侧重于属性中的信息量,而不是计数。该项目正在通过定义和经验验证内聚性和耦合性的度量来建立基于信息论的新一代软件设计度量。与一家大型电信设备制造商的合作为可信的案例研究提供了基础,其中所研究的系统是由一群专业人员在工业环境中开发的,其规模足以与其他行业项目相媲美。*
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Taghi Khoshgoftaar其他文献
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform
- DOI:
10.1186/s40537-021-00423-z - 发表时间:
2021-02-15 - 期刊:
- 影响因子:6.400
- 作者:
Flavio Villanustre;Arjuna Chala;Roger Dev;Lili Xu;Jesse Shaw LexisNexis;Borko Furht;Taghi Khoshgoftaar - 通讯作者:
Taghi Khoshgoftaar
Data science, big data, and machine learning are coming of age
- DOI:
10.1186/s40537-025-01172-z - 发表时间:
2025-07-09 - 期刊:
- 影响因子:6.400
- 作者:
Borko Furht;Taghi Khoshgoftaar - 通讯作者:
Taghi Khoshgoftaar
Taghi Khoshgoftaar的其他文献
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{{ truncateString('Taghi Khoshgoftaar', 18)}}的其他基金
MRI: Acquisition of Big Data Training and Research Laboratory
MRI:收购大数据培训和研究实验室
- 批准号:
1427536 - 财政年份:2014
- 资助金额:
$ 8.5万 - 项目类别:
Standard Grant
Discovering Software Process Measures Using Genetic Programming
使用遗传编程发现软件过程度量
- 批准号:
9970893 - 财政年份:1999
- 资助金额:
$ 8.5万 - 项目类别:
Standard Grant
CISE Research Instrumentation: Empirical Software Engineering Laboratory for Research in Software Engineering
CISE Research Instrumentation:用于软件工程研究的实证软件工程实验室
- 批准号:
9529766 - 财政年份:1996
- 资助金额:
$ 8.5万 - 项目类别:
Standard Grant
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