Software Requirements Quality: Using Analytics to Challenge Assumptions at Intel

被引：8

作者：

Griva, Anastasia ^{[1
]}

Byrne, Stephen ^{[2
]}

Dennehy, Denis ^{[1
]}

Conboy, Kieran ^{[1
]}

机构：

[1] Lero Sci Fdn Ireland Res Ctr Software, Galway, Ireland

[2] Intel Shannon, Shannon, Ireland

来源：

IEEE SOFTWARE | 2022年 / 39卷 / 02期

基金：

爱尔兰科学基金会;

关键词：

Human resource management;

D O I：

10.1109/MS.2020.3043868

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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. © 1984-2012 IEEE.

引用

页码：80 / 88

页数：9

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