在模型驱动的方法中包括商业战略:一个实验
Rene Noel1,2, Jose Ignacio Panach3, Oscar Pastor1
1Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
概括
LiteStrat是一种新的商业战略建模方法,在模型驱动开发 (MDD) 中增强了信息系统开发. 与i*相比,它显示出更高的准确性和完整性,用于软件中心组织的战略调整.
科学领域:
- 软件工程 软件工程 软件工程
- 信息系统的发展信息系统的发展
- 企业架构 企业架构
背景情况:
- 软件为中心的组织需要将业务战略与信息系统结合起来.
- 目前的模型驱动开发 (MDD) 方法缺乏强大的业务战略整合.
- 企业架构方法已经解决了战略调整问题,但尚未完全集成到MDD中.
研究的目的:
- 实证地比较LiteStrat的商业战略建模方法与i*模型.
- 在MDD背景下评估LiteStrat的语义质量和有效性.
- 提供证据证明LiteStrat在将业务战略与信息系统结合起来时的适用性.
主要方法:
- 关于建模语言实验性比较的文献综述.
- 一项研究的设计,以测量和比较建模语言的语义质量.
- 一个2x2的因数实验,28个本科生参与者比较LiteStrat和i*.
主要成果:
- LiteStrat模型的准确性和完整性明显高于i*模型.
- 在LiteStrat和i*之间的模型效率中没有发现显著差异.
- 参与者的满意度水平在两种建模方法之间没有显著差异.
结论:
- LiteStrat是一个适合在模型驱动的开发环境中用于商业战略建模的方法.
- 这些发现支持LiteStrat在提高信息系统战略调整的准确性和完整性的有效性.
- 进一步的研究可以探索LiteStrat在更复杂的组织结构或与专业开发人员的应用.
相关概念视频
Decision Making: P-value Method
5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
84
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
84
Induced-fit Model
81.2K
Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
81.2K
Response Surface Methodology
190
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
190
Mechanistic Models: Overview of Compartment Models
118
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
118
Modeling and Similitude
295
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
295


