Complex Software Project Development: Agile Methods Adoption

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Date

2011

Journal Title

Journal ISSN

Volume Title

Publisher

Wiley

Open Access Color

Green Open Access

No

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No
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Top 10%
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Top 10%
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Top 10%

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Abstract

The Agile Software Development paradigm has become increasingly popular in the last few years, since it claims lower costs, better productivity, better quality and better business satisfaction. Supply chain management (SCM) is a complex software development project. Owing to its scope and uncertain, complex and unstable requirements, it is not possible to develop it with predictable software development process models. Agile methodologies are targeted toward such kinds of problems that involve change and uncertainty, and are adaptive rather than predictive. How an agile process is introduced will significantly impact the implementation success of the process change. The objective of this paper is to analyze the agile development methodologies and management approach used in developing a complex software project. This further demonstrates how to overcome risks and barriers in each development phase of such complex inventive software projects. It also provides a set of guidelines regarding how the agile methodologies can be adopted, combined and used in these kinds of complex software projects. These findings have implications for software engineers and managers developing software by agile methods. Copyright (C) 2011 John Wiley & Sons, Ltd.

Description

Mishra, Alok/0000-0003-1275-2050; Kruchten, Philippe/0000-0003-1359-4867; Mishra, Deepti/0000-0001-5144-3811

Keywords

agile methods, dynamic systems development method (DSDM), feature-driven development (FDD), Scrum, eXtreme programming (XP), adaptive development, supply chain management (SCM), Agile software development

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q3

Scopus Q

Q2
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OpenCitations Citation Count
53

Source

Journal of Software Maintenance and Evolution: Research and Practice

Volume

23

Issue

8

Start Page

549

End Page

564

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CrossRef : 51

Scopus : 55

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Mendeley Readers : 348

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60

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41

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4

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19.9519

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