A software service supporting software quality forecasting

被引:3
作者
Manzano, Marti [1 ]
Ayala, Claudia [1 ]
Gomez, Cristina [1 ]
Lopez Cuesta, Lidia [1 ]
机构
[1] Univ Politecn Cataluna, Barcelona, Spain
来源
2019 COMPANION OF THE 19TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS-C 2019) | 2019年
基金
欧盟地平线“2020”;
关键词
forecasting; software service; software quality; software metrics; REST API; MODEL;
D O I
10.1109/QRS-C.2019.00037
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Software repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects. The exploitation of such data with techniques like forecasting is becoming an increasing need in several domains to support decision-making processes. However, although there exist several statistical tools and languages supporting forecasting, there is a lack of friendly approaches that enable practitioners to exploit the advantages of creating and using such models in their dashboard tools. Therefore, we have developed a modular and flexible forecasting service allowing the interconnection with different kinds of databases/data repositories for creating and exploiting forecasting models based on methods like ARIMA or ETS. The service is open source software, has been developed in Java and R and exposes its functionalities through a REST API. Architecture details are provided, along with functionalities' description and an example of its use for software quality forecasting.
引用
收藏
页码:130 / 132
页数:3
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