IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-030-78919-0_6.html
   My bibliography  Save this book chapter

Understanding Interactions Among Software Development Attributes and Release Planning Problem Through ISM and MAUT

In: Optimization Models in Software Reliability

Author

Listed:
  • Vibha Verma

    (University of Delhi)

  • Anu G. Aggarwal

    (University of Delhi)

  • Hoang Pham

    (Rutgers University)

Abstract

Satisfaction expected from the software product is determined by role of individual attributes in the development process and release decisions. This chapter proposes a study to analyse the relationship among various attributes of the software development process and its importance form customer’s point of view. The attributes were carefully chosen based on the industry practices, theory and literature. Further the attributes were compared to see which attributes is affected/influenced by which attribute. A hierarchical model that highlights the importance of attributes at various levels along with their interrelationships was developed through Interpretive Structural Modelling (ISM). The results show that budget, reliability, release time and post-release support are highly affected attributes. Then an optimal release problem with multiple objectives is developed incorporating the most affected attributes and solved using Multi-Attribute Utility Theory (MAUT). Here developer aims to optimize the development cost i.e. budget and the reliability under fixed availability of budget considering that the developer provides warranty benefits to the customers. Through this chapter we are able to identify the relations among software attributes and role of most influenced attributes in release planning. The detailed methodology of the proposed study has been demonstrated through an empirical example.

Suggested Citation

  • Vibha Verma & Anu G. Aggarwal & Hoang Pham, 2022. "Understanding Interactions Among Software Development Attributes and Release Planning Problem Through ISM and MAUT," Springer Series in Reliability Engineering, in: Anu G. Aggarwal & Abhishek Tandon & Hoang Pham (ed.), Optimization Models in Software Reliability, pages 111-133, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-78919-0_6
    DOI: 10.1007/978-3-030-78919-0_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:ssrchp:978-3-030-78919-0_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.