Software Quality Assurance

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Concise Guide to Software Engineering

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This chapter discusses software quality assurance and the importance of process quality. It is a premise in the quality field that good processes and conformance to them are essential for the delivery of high-quality product, and this chapter discusses audits and describes how they are carried out.

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Notes

  1. 1.

    This group may vary from a team of auditors in a large organization to a part-time role in a small organization.

  2. 2.

    The auditor may face a situation where one or more individuals become defensive and will need to reassure individuals that the objective of the audit is not to find fault with individuals, rather the objective is to determine whether the process is fit for purpose and to promote continuous improvement, as well as identifying any quality risks with the project. The culture of an organization has an influence on how open individuals will be during an audit (e.g. individuals may be defensive if there is a blame culture in the organization rather than an emphasis on fixing the process).

  3. 3.

    It is essential that the audit report is accurate, as otherwise the auditor will lose credibility and become ineffective. Therefore, it is useful to get feedback from the attendees prior to publication of the report, in order to validate the findings. However, in some implementations of software quality assurance, the audit report is issued directly to the attendees without the performance of this step.

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Correspondence to Gerard O’Regan .

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O’Regan, G. (2017). Software Quality Assurance. In: Concise Guide to Software Engineering. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-57750-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-57750-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57749-4

  • Online ISBN: 978-3-319-57750-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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