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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
12/09/1996 |
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Data da última atualização: |
05/03/2013 |
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Autoria: |
MULLER, M. E. |
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Título: |
Software maintenance tools and statistics. |
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Ano de publicação: |
1983 |
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Fonte/Imprenta: |
In: PERLIS, A.; SAYWARD, F.; SHAW, M. (Ed.). Software metrics: an analysis and evaluation. Cambridge: MIT Press, 1983. |
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Páginas: |
p. 235-249. |
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Idioma: |
Inglês |
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Conteúdo: |
Many of the activities involved with the maintenance of computing applications suggest areas of research into needed software metrics. Software metrics are needed to help evaluate what is taking place and to predict future demands for maintenance. Improvements in software metrics, in turn, can lead to more effective maintenance. Maintenance of a computing application tends to include more activities than are appropriate, and maintenance is typically more complex and costly than desired. In most respects we lack the tools and statistical techniques to gain an adequate picture of what is going on. We need a conceptual framework for maintenance and a related set of software metrics. These objectives raise a series of research questions, some of which are addressed in this paper. The life cycle model is used as a reminder that earlier events in the design and development phases influence all future maintenance activities. The life cycle model is reviewed here as an aid in understanding what software maintenance tools and statistics can offer. Appropriate perspective in sought through better understanding of the possible relationships among the maintenance, enhacement, and replacement phases. Activities affecting the maintenance of computing applications require meaningful data and analysis, and for this purpose several concepts are introduced. They are: 1. Attributed Cause and Attributed Needed. 2. Contamination effects. 3. Cascading-Causal Chains and Linkages. Indirect and Direct Tools. The role of statistical theory and application is explored in order to indicate how statistics can help guide future research on needed software maintenance tools. Areas of needed research are outlined, together with some pitfalls to be avoided in pursuing the research challenges. MenosMany of the activities involved with the maintenance of computing applications suggest areas of research into needed software metrics. Software metrics are needed to help evaluate what is taking place and to predict future demands for maintenance. Improvements in software metrics, in turn, can lead to more effective maintenance. Maintenance of a computing application tends to include more activities than are appropriate, and maintenance is typically more complex and costly than desired. In most respects we lack the tools and statistical techniques to gain an adequate picture of what is going on. We need a conceptual framework for maintenance and a related set of software metrics. These objectives raise a series of research questions, some of which are addressed in this paper. The life cycle model is used as a reminder that earlier events in the design and development phases influence all future maintenance activities. The life cycle model is reviewed here as an aid in understanding what software maintenance tools and statistics can offer. Appropriate perspective in sought through better understanding of the possible relationships among the maintenance, enhacement, and replacement phases. Activities affecting the maintenance of computing applications require meaningful data and analysis, and for this purpose several concepts are introduced. They are: 1. Attributed Cause and Attributed Needed. 2. Contamination effects. 3. Cascading-Causal Chains and Linkages. Indirect and Dire... Mostrar Tudo |
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Palavras-Chave: |
Engenharia de software; Métrica de software. |
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Thesaurus Nal: |
Computer software. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02312naa a2200169 a 4500
001 1003497
005 2013-03-05
008 1983 bl uuuu u00u1 u #d
100 1 $aMULLER, M. E.
245 $aSoftware maintenance tools and statistics.
260 $c1983
300 $ap. 235-249.
520 $aMany of the activities involved with the maintenance of computing applications suggest areas of research into needed software metrics. Software metrics are needed to help evaluate what is taking place and to predict future demands for maintenance. Improvements in software metrics, in turn, can lead to more effective maintenance. Maintenance of a computing application tends to include more activities than are appropriate, and maintenance is typically more complex and costly than desired. In most respects we lack the tools and statistical techniques to gain an adequate picture of what is going on. We need a conceptual framework for maintenance and a related set of software metrics. These objectives raise a series of research questions, some of which are addressed in this paper. The life cycle model is used as a reminder that earlier events in the design and development phases influence all future maintenance activities. The life cycle model is reviewed here as an aid in understanding what software maintenance tools and statistics can offer. Appropriate perspective in sought through better understanding of the possible relationships among the maintenance, enhacement, and replacement phases. Activities affecting the maintenance of computing applications require meaningful data and analysis, and for this purpose several concepts are introduced. They are: 1. Attributed Cause and Attributed Needed. 2. Contamination effects. 3. Cascading-Causal Chains and Linkages. Indirect and Direct Tools. The role of statistical theory and application is explored in order to indicate how statistics can help guide future research on needed software maintenance tools. Areas of needed research are outlined, together with some pitfalls to be avoided in pursuing the research challenges.
650 $aComputer software
653 $aEngenharia de software
653 $aMétrica de software
773 $tIn: PERLIS, A.; SAYWARD, F.; SHAW, M. (Ed.). Software metrics: an analysis and evaluation. Cambridge: MIT Press, 1983.
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Embrapa Agricultura Digital (CNPTIA) |
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