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|Title: ||Automated software quality visualisation using fuzzy logic techniques.|
|Authors: ||Senior, James|
Allison, Ian K.
Tepper, Jonathon A.
|Keywords: ||Metric scores|
Fuzzy logic techniques
|Issue Date: ||2007|
|Publisher: ||International Information Management Association|
|Citation: ||SENIOR, J., ALLISON, I. and TEPPER, J., 2007. Automated software quality visualisation using fuzzy logic techniques. Communications of the IIMA, 7 (1), pp. 25-40.|
|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.|
|Appears in Collections:||Journal articles (Computing)|
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