Automated software quality visualisation using fuzzy logic techniques

Senior, J, Allison, I and Tepper, J ORCID: https://orcid.org/0000-0001-7339-0132, 2007. Automated software quality visualisation using fuzzy logic techniques. Communication of the IIMA, 7 (1), pp. 25-40. ISSN 1543-5970

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Abstract

In the past decade there has been a concerted effort by the software industry to improve the quality of its products. This has led to the inception of various techniques with which to control and measure the process involved in software development. Methods like the Capability Maturity Model have introduced processes and strategies that require measurement in the form of software metrics. With the ever increasing number of software metrics being introduced by capability based processes, software development organisations are finding it more difficult to understand and interpret metric scores. This is particularly problematic for senior management and project managers where analysis of the actual data is not feasible. This paper proposes a method with which to visually represent metric scores so that managers can easily see how their organisation is performing relative to quality goals set for each type of metric. Acting primarily as a proof of concept and prototype, we suggest ways in which real customer needs can be translated into a feasible technical solution. The solution itself visualises metric scores in the form of a tree structure and utilises Fuzzy Logic techniques, XGMML, Web Services and the .NET Framework. Future work is proposed to extend the system from the prototype stage and to overcome a problem with the masking of poor scores.

Item Type:	Journal article
Publication Title:	Communication of the IIMA
Creators:	Senior, J., Allison, I. and Tepper, J.
Publisher:	International Information Management Association
Date:	2007
Volume:	7
Number:	1
ISSN:	1543-5970
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 09:51
Last Modified:	04 Feb 2022 12:25
URI:	https://irep.ntu.ac.uk/id/eprint/3870

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