IDEAS home Printed from https://ideas.repec.org/a/snr/mdrcmp/v17y2023i4p80-89.html
   My bibliography  Save this article

Performance Evaluation of Application Mob Programming Technologies in IT Project Management

Author

Listed:
  • Abdalov, Maxim S.

    (Synergy University)

  • Trubin, Alexander E.

    (Synergy University)

  • Nechaev, Andrey M.

    (Synergy University)

  • Chausov, Denis N.

    (Synergy University; Prokhorov General Physics Institute of the Russian Academy of Sciences)

Abstract

In the modern world, software development companies face a number of problems, such as an increase in the volume of code, an increase in the number of errors, an increase in the complexity of projects and an increase in requirements for quality and speed of development. To solve these problems, it is necessary to reduce costs, increase team productivity, reduce time for testing and debugging code, as well as improve the quality of their products, i. e. achieve competitive advantages by improving project management systems and communication in the team. The aim of the research is to find solutions to achieve competitive advantages of an IT company to improve the efficiency of project management and improve product quality through the use of mobile programming technologies. This approach has not been sufficiently investigated in the context of the Kanban methodology for workflow management. Thus, research in the field of using mobile programming in Kanban allows us to expand knowledge about the possibilities of this methodology and its applicability in various conditions. The article used experimental research, namely conducting experiments to compare the effectiveness of work and communication of teams using mobile programming within Kanban with teams not using this this methodology. The analytical method of research, comparative analysis (to highlight the advantages and disadvantages of the Mob Programming approach), the tabular method of providing information, for greater clarity, interviewing was also used.

Suggested Citation

  • Abdalov, Maxim S. & Trubin, Alexander E. & Nechaev, Andrey M. & Chausov, Denis N., 2023. "Performance Evaluation of Application Mob Programming Technologies in IT Project Management," Journal of Modern Competition, Synergy University, vol. 17(4), pages 80-89.
  • Handle: RePEc:snr:mdrcmp:v:17:y:2023:i:4:p:80-89
    DOI: 10.37791/2687-0657-2023-17-4-80-89
    as

    Download full text from publisher

    File URL: https://www.moderncompetition.ru/jour/article/view/52
    Download Restriction: no

    File URL: https://libkey.io/10.37791/2687-0657-2023-17-4-80-89?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:snr:mdrcmp:v:17:y:2023:i:4:p:80-89. 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: Synergy University Maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/snrgunv.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.