Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /

This is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.

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Bibliographic Details
Main Authors: Nance, Richard E. author., Arthur, James D. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: London : Springer London : Imprint: Springer, 2002
Subjects:Computer science., Architecture, Computer., Software engineering., Computers., Computer simulation., Computer engineering., Computer Science., Computer Engineering., Software Engineering/Programming and Operating Systems., Simulation and Modeling., Software Engineering., Models and Principles., Computer System Implementation.,
Online Access:http://dx.doi.org/10.1007/978-1-4471-0117-8
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Architecture, Computer.
Software engineering.
Computers.
Computer simulation.
Computer engineering.
Computer Science.
Computer Engineering.
Software Engineering/Programming and Operating Systems.
Simulation and Modeling.
Software Engineering.
Models and Principles.
Computer System Implementation.
Computer science.
Architecture, Computer.
Software engineering.
Computers.
Computer simulation.
Computer engineering.
Computer Science.
Computer Engineering.
Software Engineering/Programming and Operating Systems.
Simulation and Modeling.
Software Engineering.
Models and Principles.
Computer System Implementation.
spellingShingle Computer science.
Architecture, Computer.
Software engineering.
Computers.
Computer simulation.
Computer engineering.
Computer Science.
Computer Engineering.
Software Engineering/Programming and Operating Systems.
Simulation and Modeling.
Software Engineering.
Models and Principles.
Computer System Implementation.
Computer science.
Architecture, Computer.
Software engineering.
Computers.
Computer simulation.
Computer engineering.
Computer Science.
Computer Engineering.
Software Engineering/Programming and Operating Systems.
Simulation and Modeling.
Software Engineering.
Models and Principles.
Computer System Implementation.
Nance, Richard E. author.
Arthur, James D. author.
SpringerLink (Online service)
Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
description This is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.
format Texto
topic_facet Computer science.
Architecture, Computer.
Software engineering.
Computers.
Computer simulation.
Computer engineering.
Computer Science.
Computer Engineering.
Software Engineering/Programming and Operating Systems.
Simulation and Modeling.
Software Engineering.
Models and Principles.
Computer System Implementation.
author Nance, Richard E. author.
Arthur, James D. author.
SpringerLink (Online service)
author_facet Nance, Richard E. author.
Arthur, James D. author.
SpringerLink (Online service)
author_sort Nance, Richard E. author.
title Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
title_short Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
title_full Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
title_fullStr Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
title_full_unstemmed Managing Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction /
title_sort managing software quality [electronic resource] : a measurement framework for assesment and prediction /
publisher London : Springer London : Imprint: Springer,
publishDate 2002
url http://dx.doi.org/10.1007/978-1-4471-0117-8
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spelling KOHA-OAI-TEST:2217132018-07-30T23:59:33ZManaging Software Quality [electronic resource] : A Measurement Framework for Assesment and Prediction / Nance, Richard E. author. Arthur, James D. author. SpringerLink (Online service) textLondon : Springer London : Imprint: Springer,2002.engThis is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.1. Motivating Software Quality Meaurement -- 1.1 Software Measurement: Why, What, How and When -- 1.2 Frequent and Hidden Pitfalls -- 1.3 The Rationale of an Holistic Approach -- 1.4 Background Efforts Contributing to the Book Content -- 1.5 Purpose and Scope of the Book -- 2. Foundations for a Comprehensive Approach to Software Quality Assessment -- 2.1 Establishing a Quality Focus -- 2.2 The Objectives/Principles/Attributes (OPA) Framework -- 2.3 Software Quality Indicators -- 2.4 Influences of the Process Model -- 2.5 Establishing Measurement Goals: Assessment or Prediction -- 3. An OPA Measurement Program -- 3.1 Accommodating the Organizational Process Model -- 3.2 Measurement Program Responsibilities -- 3.3 Derivation of Software Quality Indicators -- 3.4 Interpretation of SQI Results -- 3.5 Decisions and Actions -- 4. Process Measurement -- 4.1 The Inherent Difficulty of Process Measurement -- 4.2 Indicator Derivation and Distinctions -- 4.3 Interpretation, Decisions and Actions -- 5. Product Measurement: Documentation -- 5.1 Motivation and Distinctions -- 5.2 The Characteristics of High Quality in Documentation -- 5.3 Measurement Approaches -- 5.4 Interpretation, Decisions and Actions -- 6. Product Measurement: Code -- 6.1 Indicator Distinction and Derivation -- 6.2 Attributes of Code Quality -- 6.3 Automated Collection of Code Indicators -- 6.4 Interpretation, Decisions and Actions -- 7. An Examination of Indicator Values and Their Aggregation -- 7.1 Using and Interpreting Indicator Values -- 7.2 Integrating Code, Documentation and Process Quality Indicators in a Software Quality Measurement Program -- 8. Prediction and Assessment: Differences in Goals -- 8.1 Effects of Process Models -- 8.2 Software Reuse -- 8.3 Sustaining Responsibilities and Quality Measurement -- 8.4 The Quality Database and Validity of Indicators -- 9. Software Quality: Views and Purviews -- 9.1 Software Quality: Holy Grail or Eternal Enigma? -- 9.2 What is “Quality”? -- 9.3 What about Software? -- 9.4 The Evolving Views of Software Quality -- 9.5 Software Quality: A Standard View -- References.This is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.Computer science.Architecture, Computer.Software engineering.Computers.Computer simulation.Computer engineering.Computer Science.Computer Engineering.Software Engineering/Programming and Operating Systems.Simulation and Modeling.Software Engineering.Models and Principles.Computer System Implementation.Springer eBookshttp://dx.doi.org/10.1007/978-1-4471-0117-8URN:ISBN:9781447101178