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

Vibha Verma (), Anu G. Aggarwal () and Hoang Pham ()
Additional contact information
Vibha Verma: University of Delhi
Anu G. Aggarwal: University of Delhi
Hoang Pham: Rutgers University

A chapter in Optimization Models in Software Reliability, 2022, pp 111-133 from Springer

Abstract: 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.

Keywords: ISM; MICMAC analysis; MAUT; Software development attributes; Release time; Warranty time; Customer satisfaction; Casual interrelationships (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-78919-0_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030789190

DOI: 10.1007/978-3-030-78919-0_6

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().