Software Analytics in Practice

Author

Dongmei Zhang ; Shi Han ; Yingnong Dang ; Jian-Guang Lou ; Haidong Zhang ; Tao Xie

Volume

30

Issue

5

fYear

2013

fDate

Sept.-Oct. 2013

Firstpage

30

Lastpage

37

Abstract

With software analytics, software practitioners explore and analyze data to obtain insightful, actionable information for tasks regarding software development, systems, and users. The StackMine project produced a software analytics system for Microsoft product teams. The project provided lessons on applying software analytics technologies to positively impact software development practice. The lessons include focusing on problems that practitioners care about, using domain knowledge for correct data understanding and problem modeling, building prototypes early to get practitioners´ feedback, taking into account scalability and customizability, and evaluating analysis results using criteria related to real tasks.

Keywords

data analysis; software engineering; Microsoft product team; StackMine project; data analysis; data customizability; data exploration; data scalability; data understanding; domain knowledge; problem modeling; software analytics technology; software development practice; Algorithm design and analysis; Data mining; Debugging; Performance analysis; Software analytics; Software engineering; Software systems; Algorithm design and analysis; Data mining; Debugging; Performance analysis; Software analytics; Software engineering; Software systems; StackMine; actionable information; data exploration; insightful information; mining software repositories; software analytics; software artifacts; software engineering; technology transfer;

fLanguage

English

Journal_Title

Software, IEEE

Publisher

ieee

ISSN

0740-7459

Type

jour

DOI

10.1109/MS.2013.94

Filename

6559957