Proceedings - 3rd International Workshop on CrowdSourcing in Software Engineering, CSI-SE 2016

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Business, Management and Accounting
- Organizational Behavior and Human Resource Management

Computer Science
- Software

Earth and Planetary Sciences
- Geophysics
- Geotechnical Engineering and Engineering Geology

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

It is our pleasure to welcome the reader to the (pre-workshop) proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering (CSI-SE 2016), co-located with the 38th International Conference on Software Engineering (ICSE 2016) held in Austin, TX, USA on May 16, 2016. A number of trends under the broad banner of crowdsourcing are beginning to fundamentally disrupt the way in which software is engineered. Programmers increasingly rely on crowdsourced knowledge and code, as they look at Q&A websites for answers or use code from publicly posted snippets. Programmers play, compete, and learn with the crowd, engaging in programming competitions and puzzles with crowds of programmers. Online IDEs make radically new forms of collaboration possible, allowing developers to synchronously program with crowds of distributed programmers. Programmer reputation is increasingly visible on Q&A sites and public code repositories, opening new possibilities in how developers find jobs and companies identify talent. Crowds of non-programmers increasingly participate in development, usability testing software or even constructing specifications while playing games. Developers can take feedback from a crowd of users to guide further evolution of their applications. Crowdfunding democratizes choices about which software is built, broadening the software which might be feasibly constructed. Approaches for crowd development seek to microtask software development, dramatically increasing participation in open source by enabling software projects to be built through casual, transient work. CSI-SE seeks to understand how crowdsourcing is shaping and disrupting software development, shedding light on the opportunities and challenges. We encourage submissions of studies, systems, and techniques relevant to the application of crowdsourcing (broadly construed) to software engineering.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2017	0.151
2018	0.236
2019	0.283

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2017	0
2018	0
2019	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2017	1.000
Cites / Doc. (4 years)	2018	2.222
Cites / Doc. (4 years)	2019	1.889
Cites / Doc. (3 years)	2017	1.000
Cites / Doc. (3 years)	2018	2.222
Cites / Doc. (3 years)	2019	1.889
Cites / Doc. (2 years)	2017	1.000
Cites / Doc. (2 years)	2018	2.222
Cites / Doc. (2 years)	2019	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2017	0
Self Cites	2018	0
Self Cites	2019	0
Total Cites	2017	9
Total Cites	2018	20
Total Cites	2019	17

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2017	1.000
External Cites per document	2018	2.222
External Cites per document	2019	1.889
Cites per document	2017	1.000
Cites per document	2018	2.222
Cites per document	2019	1.889

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2017	0
2018	0
2019	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2017	2
Non-citable documents	2018	2
Non-citable documents	2019	2
Citable documents	2017	7
Citable documents	2018	7
Citable documents	2019	7

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2017	4
Uncited documents	2018	4
Uncited documents	2019	3
Cited documents	2017	5
Cited documents	2018	5
Cited documents	2019	6

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