IDEAS home Printed from https://ideas.repec.org/a/nwe/eajour/y2014i2p104-113.html
   My bibliography  Save this article

Software Development Methodologies for Reducing Project Risks

Author

Listed:
  • Kamelia Stefanova

    (University of National and World Economy, Sofia, Bulgaria)

  • Veselin Georgiev

Abstract

The rapid expansion of information and communication technologies in all business and social areas today has increased the pressure on and the need for the optimization of software development process. More than ever, the relation between quality, cost and time for delivery become a critical requirement for success. Developing cost competitive software products that meet high quality standards according to the time constrained market today is becoming a demanding task. Most of the software development processes are overburdened with strict and heavy documentation procedures that require strong control mechanisms and create additional sophistication in the software projects management. New families of methodologies for software development, referred to as Agile Processes, are introduced to meet the challenges of the future developments in the software industry. These methodologies focus on the flexibility and adaptability and are described as agile, unlike the traditional processes which are restrictive in the introduction of changes. The application of these methodologies and practices answer the need to reduce risks and increase quality and usability of the final software product.

Suggested Citation

  • Kamelia Stefanova & Veselin Georgiev, 2014. "Software Development Methodologies for Reducing Project Risks," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 104-113, April.
    • Handle: RePEc:nwe:eajour:y:2014:i:2:p:104-113
    as

    Download full text from publisher

    File URL: http://www.unwe.bg/uploads/Alternatives/8_Georgiev.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Agile Software development; Project risks; SCRUM; Extreme programming; Feature Driven Development; Adaptive Software Development;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nwe:eajour:y:2014:i:2:p:104-113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.