Is Open Source Eating the World's Software? Measuring the Proportion of Open Source in Proprietary Software Using Java']Java Binaries

被引：0

作者：

Musseau, Julius ^{[1
]}

Meyers, John Speed ^{[2
]}

Sieniawski, George P. ^{[3
]}

Thompson, C. Albert ^{[4
]}

German, Daniel ^{[5
]}

机构：

[1] Mergebase, Vancouver, BC, Canada

[2] Chainguard, Berkeley, CA USA

[3] IQT Labs, Arlington, VA USA

[4] Ford Motor Co, Dearborn, MI 48121 USA

[5] Univ Victoria, Victoria, BC, Canada

来源：

2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022) | 2022年

关键词：

Open Source Software; Measurement; Methodology; !text type='Java']Java[!/text; Binaries;

D O I：

10.1145/3524842.3528473

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

That open source software comprises an increasingly large percentage of modern software applications has become conventional wisdom. The exact extent to which open source software constitutes today's applications is indeterminate, however, at least by the standards of the academic software engineering research community. This paper proposes a methodology and associated tool that can analyze Java binaries and determine the proportion of open source that comprises them. This paper also presents empirical measurements of 5 commercial Java software systems, reporting OSS proportions between 76.2% to 99.9% among these 5 systems, including a historical analysis covering 6 versions and 12 years for one of the subject systems.

引用

页码：561 / 565

页数：5

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