Identifying embedded software quality: two approaches.

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Title: Identifying embedded software quality: two approaches.
Authors: Kusters, Rob J.1,2 r.j.kusters@tm.tue.nl, Van Solingen, Rini1,3, Trienekens, Jos J. M.1
Source: Quality & Reliability Engineering International. Nov1999, Vol. 15 Issue 6, p485-492. 8p. 1 Diagram, 2 Charts.
Subjects: Computer software development, Quality control, Questionnaires, Computer programming management, Factory management
Abstract: This paper focuses on strategies for the identification and specification of embedded software quality. After having identified the need for additional support in eliciting quality requirements, two different approaches are presented. The multi-party chain approach is based on an explicit identification of stakeholders and their concerns with the proposed system. The second approach is questionnaire-based. It links quality characteristics to the characteristics in the environment within which the system is to function. Both approaches are based on the assumption that interrelations exist and can be determined between business system characteristics and embedded software quality characteristics. Both approaches are validated in various case studies in practice. This paper discusses the major results of these case studies. Advantages and disadvantages of both approaches are looked into. Both approaches proved to be fruitful, encouraging further research and experimentation. Copyright © 1999 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Nov1999, Vol. 15 Issue 6, p485-492. 8p. 1 Diagram, 2 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming+management%22">Computer programming management</searchLink><br /><searchLink fieldCode="DE" term="%22Factory+management%22">Factory management</searchLink>
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  Data: This paper focuses on strategies for the identification and specification of embedded software quality. After having identified the need for additional support in eliciting quality requirements, two different approaches are presented. The multi-party chain approach is based on an explicit identification of stakeholders and their concerns with the proposed system. The second approach is questionnaire-based. It links quality characteristics to the characteristics in the environment within which the system is to function. Both approaches are based on the assumption that interrelations exist and can be determined between business system characteristics and embedded software quality characteristics. Both approaches are validated in various case studies in practice. This paper discusses the major results of these case studies. Advantages and disadvantages of both approaches are looked into. Both approaches proved to be fruitful, encouraging further research and experimentation. Copyright © 1999 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/(SICI)1099-1638(199911/12)15:6<485::AID-QRE295>3.0.CO;2-3
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        Text: English
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      – SubjectFull: Quality control
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      – SubjectFull: Questionnaires
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      – SubjectFull: Computer programming management
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      – SubjectFull: Factory management
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              Text: Nov1999
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              Y: 1999
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