• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Software Engineering
  2. Vol 5 (1), 2011
  3. 38-48
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Software Engineering

Year: 2011 | Volume: 5 | Issue: 1 | Page No.: 38-48
DOI: 10.3923/jse.2011.38.48

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 646

Search


Authors


CH.V.M.K. Hari

Country: India

P.V.G.D. Prasad Reddy

Country: India

Keywords


  • Person months
  • kilo delivered lines of code
  • constructive cost model
  • optimization
  • particle swarm
  • software effort estimation
Research Article

A Fine Parameter Tuning for COCOMO 81 Software Effort Estimation using Particle Swarm Optimization

CH.V.M.K. Hari and P.V.G.D. Prasad Reddy
The basic goal of project planning is to look into the future, identify the activities that need to be done to complete the project successfully and plan scheduling and resource allocation for these activities. Software effort estimation is the most important activity in project planning. So far many models are proposed by using machine learning algorithms, but no model is proved successful for efficiently and consistently predicting the effort. In this study we proposed two models using particle swarm optimization (PSO) with Constriction Factor for fine tuning of parameters of the constructive cost model (COCOMO) effort estimation. The models deals efficiently with imprecise and uncertain input and enhances the reliability of software effort estimation. The experimental part of the study illustrates the approach and contrast it with the standard numeric version of the COCOMO, standard singal variable models, Triangular Membership Function and Gbell function Models.
PDF Fulltext XML References Citation

How to cite this article

CH.V.M.K. Hari and P.V.G.D. Prasad Reddy, 2011. A Fine Parameter Tuning for COCOMO 81 Software Effort Estimation using Particle Swarm Optimization. Journal of Software Engineering, 5: 38-48.

DOI: 10.3923/jse.2011.38.48

URL: https://scialert.net/abstract/?doi=jse.2011.38.48

Related Articles

Scheduling Quality Related Activities in Incremental Software Development Projects Based on Monte Carlo Simulation
Research on Learning Bayesian Networks by Particle Swarm Optimization
PSO-Based Controller Design for Rotary Inverted Pendulum System
Candidate Process Models for Component Based Software Development
Regression Testing Method Based on XML Schema for GUI Components
Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved