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Task allocation and coordination process in distributed agile software development: an ontology based approach.

Chitra Nundlall1, Soulakshmee D Nagowah1

  • 1Department of Software and Information Systems, Faculty of Information, Communication and Digital Technologies, University of Mauritius, Moka, Mauritius.

Information Technology & Management
|July 31, 2023
PubMed
Summary
This summary is machine-generated.

Distributed agile software development (DASD) faces coordination challenges. This study introduces OntoDASD, an ontology to improve task allocation and team communication in distributed agile teams.

Keywords:
CoordinationDistributed agile software developmentOntologyTask allocation

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Area of Science:

  • Computer Science
  • Software Engineering
  • Information Systems

Background:

  • Distributed Agile Software Development (DASD) is increasingly popular due to cost, market, and expertise factors.
  • DASD presents significant coordination and communication challenges, particularly in task allocation.
  • Existing solutions often lack comprehensive models for DASD-specific task allocation factors.

Purpose of the Study:

  • To propose a novel ontology, OntoDASD, for addressing task allocation and coordination issues in DASD.
  • To incorporate critical factors and dependencies influencing task allocation within distributed agile environments.
  • To enhance knowledge representation and sharing for improved decision-making in DASD.

Main Methods:

  • An in-depth literature review was conducted to identify existing challenges and solutions.
  • A survey was administered to industry professionals to gather practical insights.
  • An ontology, OntoDASD, was developed based on the literature review and survey data.

Main Results:

  • OntoDASD effectively represents knowledge related to task allocation and coordination in DASD.
  • The ontology facilitates improved team coordination through structured knowledge sharing.
  • OntoDASD was validated by industry professionals, confirming its practical applicability.

Conclusions:

  • OntoDASD provides a robust framework for optimizing task allocation in distributed agile settings.
  • The ontology enhances communication and knowledge management for distributed software development teams.
  • Implementing OntoDASD can lead to more efficient and effective DASD practices.