Software requirements quality: Using analytics to challenge assumptions at Intel: Using Analytics to Challenge Assumptions at Intel

Kieran Conboy

doi:10.1109/MS.2020.3043868

Software requirements quality: Using analytics to challenge assumptions at Intel: Using Analytics to Challenge Assumptions at Intel

Kieran Conboy

Business Information Systems

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

10 Citations (Scopus)

Abstract

Creating high-quality software requirements is critically important in the complex, dynamic, and pressurized context of contemporary software development. Our findings challenge assumptions by management and project teams regarding the relationship among requirements quality, and requirements priority, compliance, and defect rates.

Original language	English (Ireland)
Pages (from-to)	80-88
Number of pages	9
Journal	Ieee Software
Volume	39
Issue number	2
DOIs	https://doi.org/10.1109/MS.2020.3043868
Publication status	Published - 1 Jan 2020

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Griva, A., Byrne, S., Dennehy, D., Conboy, K.

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10.1109/MS.2020.3043868

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abstract = "Creating high-quality software requirements is critically important in the complex, dynamic, and pressurized context of contemporary software development. Our findings challenge assumptions by management and project teams regarding the relationship among requirements quality, and requirements priority, compliance, and defect rates.",

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Software requirements quality: Using analytics to challenge assumptions at Intel: Using Analytics to Challenge Assumptions at Intel

Abstract

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