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Enhanced Context Analysis for eXtreme Programming (XP): Describing the Big Picture

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Keenan, Frank and Bustard, D. (2007) Enhanced Context Analysis for eXtreme Programming (XP): Describing the Big Picture. In: Software Engineering and Applications (SEA 2007). ACTA Press, Cambridge, MA, pp. 459-464. ISBN 987-0-88986-705-5 [Book section]

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URL: http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=465

Abstract

Any computing system operates in and provides support for a particular environment. The importance of conducting an appropriate analysis of that environment or context is frequently stressed. Despite this, it is often overlooked in the development of many computing systems. Agile approaches to software development recognise this weakness, emphasising the need for closer customer collaboration. Essentially, a customer representative is responsible for providing the required knowledge of the environment. Nevertheless, problems remain with many difficulties reported for the customer role. The recent version of eXtreme Programming (XP), the most popular agile approach, acknowledges this with new practices recommending consideration of the broader context, taking account of the big picture. Despite this, little advice is given on how this might be implemented. This paper examines how this might be achieved by streamlining Soft Systems Methodology (SSM), a well established analysis technique, and linking it with XP. The first part of this paper describes the linked approach. This is then followed by a report on an investigation of the approach that has been assessed through experimental group projects with undergraduate computing students. The results highlight some of the strengths and weaknesses of the linkage, indicating directions for future research.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:8817
Deposited By:Professor David Bustard
Deposited On:29 Feb 2012 15:06
Last Modified:29 Feb 2012 15:06

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