Combining Data Analytics with Team Feedback to Improve the Estimation Process in Agile Software Development

被引：9

作者：

Vetro, Antonio ^{[1
]}

Duerre, Rupert ^{[2
]}

Conoscenti, Marco ^{[1
]}

Fernandez, Daniel Mendez ^{[3
]}

Jorgensen, Magne ^{[4
]}

机构：

[1] Politecn Torino, Nexa Ctr Internet & Soc, DAUIN, Turin, Italy

[2] Netlight Consulting, Berlin, Germany

[3] Tech Univ Munich, Munich, Germany

[4] Simula Metropolitan, Oslo, Norway

来源：

FOUNDATIONS OF COMPUTING AND DECISION SCIENCES | 2018年 / 43卷 / 04期

关键词：

Agile estimation; data analytics; process improvement;

D O I：

10.1515/fcds-2018-0016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We apply a mixed research method to improve the user stories estimation process in a German company following agile software development. We combine software project data analytics with elicitation of teams' feedback, identify root causes for wrong estimates and propose an improved version of the estimation process. Three major changes are adopted in the new process: a shorter non numerical scale for story points, an analogy-based estimation process, and retrospectives analyses on the accuracy of previous sprints estimates. The new estimation process is applied on a new project, and an improvement of estimates accuracy from 10% to 45% is observed.

引用

页码：305 / 334

页数：30

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