Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Decision Making: P-value Method01:09

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...
5.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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...
84
Induced-fit Model01:13

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...
81.2K
Response Surface Methodology01:16

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:
190
Mechanistic Models: Overview of Compartment Models01:21

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 Similitude01:12

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Review of autism spectrum disorder databases for the identification of candidate genes.

Database : the journal of biological databases and curation·2025
Same author

The promises and pitfalls of automated variant interpretation: a comprehensive review.

Briefings in bioinformatics·2025
Same author

Intelligent Learning-Based Methods for Determining the Ideal Team Size in Agile Practices.

Biomimetics (Basel, Switzerland)·2024
Same author

CardioHotspots: a database of mutational hotspots for cardiac disorders.

Database : the journal of biological databases and curation·2024
Same author

Co-design of a Mobile App for Engaging Breast Cancer Patients in Reporting Health Experiences: Qualitative Case Study.

Journal of medical Internet research·2023
Same author

Conceptual modelling for life sciences based on systemist foundations.

BMC bioinformatics·2023
Same journal

Editorial.

Requirements engineering·2023
Same journal

Guidelines adopted by agile teams in privacy requirements elicitation after the Brazilian general data protection law (LGPD) implementation.

Requirements engineering·2022
Same journal

Testing software's changing features with environment-driven abstraction identification.

Requirements engineering·2022
Same journal

Specifying requirements for collection and analysis of online user feedback.

Requirements engineering·2022
Same journal

Philanthropic conference-based requirements engineering in time of pandemic and beyond.

Requirements engineering·2022
Same journal

Crowd-based requirements elicitation via pull feedback: method and case studies.

Requirements engineering·2022
See all related articles

Related Experiment Video

Updated: Jul 25, 2025

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K

Including business strategy in model-driven methods: an experiment.

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.

Requirements Engineering
|June 26, 2023
PubMed
Summary
This summary is machine-generated.

LiteStrat, a new business strategy modeling method, enhances information system development in model-driven development (MDD). It shows superior accuracy and completeness compared to i* for strategic alignment in software-centric organizations.

Keywords:
Business strategy modellingGoal modellingModel-driven architectureOrganisational modellingOrganisational structure modelling

More Related Videos

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.3K
Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

42.1K

Related Experiment Videos

Last Updated: Jul 25, 2025

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K
New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.3K
Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

42.1K

Area of Science:

  • Software Engineering
  • Information Systems Development
  • Enterprise Architecture

Background:

  • Software-centric organizations require aligning business strategy with information systems.
  • Current model-driven development (MDD) methods lack robust business strategy integration.
  • Enterprise architecture approaches have addressed strategic alignment but not fully integrated into MDD.

Purpose of the Study:

  • To empirically compare the LiteStrat business strategy modeling method with the i* model.
  • To evaluate the semantic quality and effectiveness of LiteStrat within an MDD context.
  • To provide evidence for LiteStrat's suitability in aligning business strategy with information systems.

Main Methods:

  • Literature review on experimental comparisons of modeling languages.
  • Design of a study to measure and compare semantic quality of modeling languages.
  • A 2x2 factorial experiment with 28 undergraduate participants comparing LiteStrat and i*.

Main Results:

  • LiteStrat models demonstrated significantly higher accuracy and completeness than i* models.
  • No significant differences were found in modeller efficiency between LiteStrat and i*.
  • Participant satisfaction levels did not differ significantly between the two modeling methods.

Conclusions:

  • LiteStrat is a suitable method for business strategy modeling in model-driven development contexts.
  • The findings support LiteStrat's effectiveness in improving the accuracy and completeness of strategic alignment in information systems.
  • Further research could explore LiteStrat's application in more complex organizational structures or with professional developers.