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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
As the Air Force enters the 21st century, the software that runs our information systems continues to age and become harder to maintain. Organizations that maintain this legacy software are faced with the challenge of rising software maintenance costs. This paper presents a spectrum of software maintenance options that can be used to reduce the cost of maintenance. The software understanding and programmer unfamiliarity factors from the COCOMO II model are compared to graphically show the effect good software understandability can have on the cost of maintenance. The structure, application clarity, and self-descriptiveness of a software module affect its understandability. The cost of software maintenance is quantified by combining factors from the COCOMO II model and the Software Reengineering Assessment Handbook reengineering decision model that affect understandability.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
As the Air Force enters the 21st century, the software that runs our information systems continues to age and become harder to maintain. Organizations that maintain this legacy software are faced with the challenge of rising software maintenance costs. This paper presents a spectrum of software maintenance options that can be used to reduce the cost of maintenance. The software understanding and programmer unfamiliarity factors from the COCOMO II model are compared to graphically show the effect good software understandability can have on the cost of maintenance. The structure, application clarity, and self-descriptiveness of a software module affect its understandability. The cost of software maintenance is quantified by combining factors from the COCOMO II model and the Software Reengineering Assessment Handbook reengineering decision model that affect understandability.