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 Experiment Videos

Applying a system dynamics approach for decision-making in software testing projects.

Wang Li1, Chih-Chiang Fang1

  • 1School of Computer Science and Software, Zhaoqing University, Zhaoqing, China.

Plos One
|May 16, 2025
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Study on a high precision alignment system with dual cameras.

PloS one·2026
Same author

Potential Roles of YAP/TAZ Mechanotransduction in Spaceflight-Induced Liver Dysfunction.

International journal of molecular sciences·2023
Same author

Low Weight Polysaccharide of <i>Hericium erinaceus</i> Ameliorates Colitis via Inhibiting the NLRP3 Inflammasome Activation in Association with Gut Microbiota Modulation.

Nutrients·2023
Same author

Analysis of angiogenesis-related subtypes of hepatocellular carcinoma and tumor microenvironment infiltration feature in hepatocellular carcinoma.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2023
Same author

Analysis and identification of potential key genes in hepatic ischemia-reperfusion injury.

Annals of translational medicine·2023
Same author

A unified reaction network on the formation of five-membered ringed polycyclic aromatic hydrocarbons (PAHs) and their role in ring expansion processes through radical-radical reactions.

Physical chemistry chemical physics : PCCP·2023
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

This study introduces a system dynamics model for adaptable software reliability growth, simplifying complex traditional models. It helps developers balance software quality and testing efficiency for better user satisfaction.

Area of Science:

  • Software Engineering
  • Systems Science

Background:

  • Software quality and stability are crucial for user satisfaction.
  • Traditional software reliability growth models are often too complex for modern software environments.
  • Developers face challenges balancing software testing rigor with project constraints.

Purpose of the Study:

  • To develop an adaptable software reliability growth model using a system dynamics approach.
  • To simplify the complexity of traditional reliability models for practical application.
  • To provide insights into the impact of testing and debugging on software reliability.

Main Methods:

  • Utilized a system dynamics approach to model software reliability growth.
  • Developed a model with defined rules to simulate testing and debugging impacts.

Related Experiment Videos

  • Incorporated factors like resource allocation, testing efficiency, and error detection rates.

    • Main Results:

    • The system dynamics model effectively simulates the influence of testing and debugging on software reliability.
    • The approach simplifies complex mathematical derivations found in traditional models.
    • The model captures dynamic interactions between various factors affecting software reliability.

    Conclusions:

    • The proposed system dynamics model offers a more accessible and adaptable approach to software reliability growth.
    • This method provides valuable insights for software developers and project managers to optimize quality assurance strategies.
    • The model facilitates informed decision-making for enhancing software quality and testing efficiency.