Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Decision Making: Traditional Method

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...

Response Surface Methodology

Response Surface Methodology

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:

Decision Making: P-value Method

Decision Making: P-value Method

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...

Decision Making

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...

Machines: Problem Solving II

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by

Same author

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach.

Scientific reports·2026

Same author

Secure edge-guided adaptive image steganography using HED-based attention maps and CNN.

Scientific reports·2025

Same author

Taxonomy-based approach for understanding and enhancing security culture in universities.

PeerJ. Computer science·2025

Same author

A measurement framework to assess software maturity models.

PeerJ. Computer science·2025

Same author

Dehydrogenation reaction of triethylamine by an electrophilic terminal phosphinidene complex.

Dalton transactions (Cambridge, England : 2003)·2023

Same author

Duct Division "Before or After Clipping" in Laparoscopic Liver Donors: Overcoming the Dilemma to Quintessential Approach.

Transplantation·2022

Same journal

A model-driven framework to support strategic agility: Value-added perspective.

Information and software technology·2022

Same journal

Guidelines for the development of a critical software under emergency.

Information and software technology·2022

Same journal

Enforcement of entailment constraints in distributed service-based business processes.

Information and software technology·2016

Same journal

Testing Scientific Software: A Systematic Literature Review.

Information and software technology·2014

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 30, 2025

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Introduction to the special issue on managing software processes using soft computing techniques.

Arif Ali Khan¹, Pekka Abrahamsson², Mahmood Niazi³

¹M3S Empirical Software Engineering Research Unit, University of Oulu, 90570 Oulu, Finland.

Information and Software Technology

|August 29, 2022

Summary

This summary is machine-generated.

The coronavirus pandemic shifted software development to remote work, necessitating process automation. This issue explores soft computing solutions to enhance remote software engineering capabilities and processes.

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Related Experiment Videos

Last Updated: Aug 30, 2025

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

Computer Science
Software Engineering
Artificial Intelligence

Background:

The COVID-19 pandemic significantly altered the software industry's work culture, leading to widespread remote work.
This shift necessitated a re-evaluation of traditional software development processes and their suitability for distributed teams.

Discussion:

This special issue focuses on soft computing methodologies as a means to address the challenges posed by remote software development.
The papers investigate how intelligent systems can automate and improve various aspects of the software lifecycle in a remote setting.

Key Insights:

Soft computing offers novel solutions for enhancing collaboration, communication, and productivity in remote software teams.
Automation of software processes through AI and machine learning is crucial for maintaining efficiency and quality in distributed development environments.

Outlook:

Future research should explore advanced soft computing techniques for more resilient and adaptive remote software development frameworks.
Continued innovation in intelligent automation is essential for the long-term success of the evolving software industry landscape.