Towards Non-invasive Software Measurement System: Architecture and Implementation

被引：1

作者：

Bykov, Anton ^{[1
]}

Ivanov, Vladimir ^{[1
]}

Mingazov, Marat ^{[1
]}

Rogers, Alan ^{[1
]}

Shunevich, Alexandr ^{[1
]}

Sillitti, Alberto ^{[1
]}

Succi, Giancarlo ^{[1
]}

Tormasov, Alexander ^{[1
]}

Yi, Jooyong ^{[1
]}

Zabirov, Albert ^{[1
]}

Zaplatnikov, Denis ^{[1
]}

机构：

[1] Innopolis Univ, 1 Univ Skaya Str, Innopolis 420500, Russia

来源：

PROCEEDINGS OF 5TH INTERNATIONAL CONFERENCE IN SOFTWARE ENGINEERING FOR DEFENCE APPLICATIONS | 2018年 / 717卷

关键词：

D O I：

10.1007/978-3-319-70578-1_15

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Despite that non-invasive software measurement tools have proven their usefulness in software production, their adoption in software industry is still limited. Reasons for the limited distributions have been studied and analyzed in works like (Coman et al, Proceedings of 476 the 31st International Conference on Software Engineering (ICSE 2009), Vancouver 89-99, 2009) [1]. In this paper, we propose a new architecture for non-invasive software measurement systems that address the problems of the existing systems. The outcome of our early experimentation is quite promising and gives us the desired additional confidence on its successful distribution.

引用

页码：149 / 165

页数：17

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