Mining Rational Team Concert Repositories: A Case Study on a Software Project

被引：0
|
作者：
Cunha, Pedro [1 ]
Ferreira, Andre [1 ]
Cortez, Paulo [2 ]
机构：
[1] Bosch Car Multimedia Portugal SA, P-4705820 Braga, Portugal
[2] Univ Minho, Dept Informat Syst, ALGORITMI Ctr, P-4804533 Guimaraes, Portugal
来源：
PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017) | 2017年 / 10423卷
关键词：
Software engineering; Data mining; Association rules;
D O I：
10.1007/978-3-319-65340-2_44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Software repositories are key to support the development of software. In this article, we present a Mining Software Repositories (MSR) approach that considered a two-year software project repository, set using the Rational Team Concert (RTC) tool. Such MSR was designed in terms of three main components: RTC data extraction, RTC data mining and design of RTC intelligence dashboard. In particular, we focus more on the data extraction component, although we also present mining and dashboard outcomes. Interesting results were achieved, revealing a potential of the proposed MSR to improve the software project planning/ development agility and quality.
引用
收藏
页码：537 / 548
页数：12
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