An investigation into the measurement of program quality
An investigation into the measurement of program quality
This thesis describes an investigative comparison of the quality of functional and object-oriented programs written in the Image Analysis domain. As such, it involved the development of an appropriate Quality Model, the instigation of a Metrics Plan, and subsequent development of two functionally-identical sets of software using different languages.
The relationship between a set of independent variables, available at design time, and a number of dependent variables (such as the number of modification requests) was also investigated. Principal components analysis was used to investigate the collinearity of the metrics, and so reduce the amount of data which had to be considered during analysis.
This research has revealed some interesting relationships between certain independent variables and dependent variables which are associated with attributes of quality. It has also revealed a number of difficulties which must be addressed when performing comparative studies of programming languages. The software (analysis and design documentation, as well as code) is available in the public domain, to encourage and facilitate replication of this investigation in many different application domains.
University of Southampton
Samaraweera, Lindsay Gerard
1997
Samaraweera, Lindsay Gerard
Samaraweera, Lindsay Gerard
(1997)
An investigation into the measurement of program quality.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
This thesis describes an investigative comparison of the quality of functional and object-oriented programs written in the Image Analysis domain. As such, it involved the development of an appropriate Quality Model, the instigation of a Metrics Plan, and subsequent development of two functionally-identical sets of software using different languages.
The relationship between a set of independent variables, available at design time, and a number of dependent variables (such as the number of modification requests) was also investigated. Principal components analysis was used to investigate the collinearity of the metrics, and so reduce the amount of data which had to be considered during analysis.
This research has revealed some interesting relationships between certain independent variables and dependent variables which are associated with attributes of quality. It has also revealed a number of difficulties which must be addressed when performing comparative studies of programming languages. The software (analysis and design documentation, as well as code) is available in the public domain, to encourage and facilitate replication of this investigation in many different application domains.
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More information
Published date: 1997
Identifiers
Local EPrints ID: 463090
URI: http://eprints.soton.ac.uk/id/eprint/463090
PURE UUID: ff52d2d2-bf42-44e1-afff-accc7cfad972
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Date deposited: 04 Jul 2022 20:44
Last modified: 04 Jul 2022 20:44
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Contributors
Author:
Lindsay Gerard Samaraweera
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