2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation, SCAM 2015 - Proceedings

Country

United States

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

Subject Area and Category

Computer Science

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

SCAM promotes discussion and interaction among researchers and practitioners working on theory, techniques and applications that concern analysis and manipulation of the source code of computer systems. We started out as compiler hackers, but now we also do MSR-type analysis and even code comprehension studies using technologies like Eye Tracking. Software plays an essential role in our lives, in ways both obvious and subtle, and will continue to do so in the years to come. While much attention in the wider software engineering community is directed towards other aspects of systems development and evolution, such as specification, design and requirements engineering, it is the source code that contains the precise, and sometimes only, definitive description of the behavior of the system. SCAM focuses on the techniques and tools themselves – what they can achieve, how they can be improved, refined and combined. SCAM is a working conference. Hence, paper presentations are kept short and focused, with ample time reserved for general discussion of issues raised during each session. This always leads to interesting and stimulating interactive discussions. This year we have received 68 research papers submissions and 9 tool papers submissions, from which we have selected 24 excellent research papers and 6 great tool papers for presentation and inclusion in the proceedings. The papers cover a broad range of topics including: static analysis, dynamic analysis, source code transformation, software mining, performance analysis and source code visualization. We want to thank the authors of all submissions for sharing their research with the SCAM community.

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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
2016	0.118
2017	0.135
2018	0.189

Total Documents

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

Year	Documents
2016	0
2017	0
2018	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)	2016	0.563
Cites / Doc. (4 years)	2017	0.969
Cites / Doc. (4 years)	2018	1.125
Cites / Doc. (3 years)	2016	0.563
Cites / Doc. (3 years)	2017	0.969
Cites / Doc. (3 years)	2018	1.125
Cites / Doc. (2 years)	2016	0.563
Cites / Doc. (2 years)	2017	0.969
Cites / Doc. (2 years)	2018	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	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	18
Total Cites	2017	31
Total Cites	2018	36

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	2016	0.563
External Cites per document	2017	0.969
External Cites per document	2018	1.125
Cites per document	2016	0.563
Cites per document	2017	0.969
Cites per document	2018	1.125

% 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
2016	0
2017	0
2018	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	2016	2
Non-citable documents	2017	2
Non-citable documents	2018	2
Citable documents	2016	30
Citable documents	2017	30
Citable documents	2018	30

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	2016	20
Uncited documents	2017	17
Uncited documents	2018	15
Cited documents	2016	12
Cited documents	2017	15
Cited documents	2018	17

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2016	0.00
2017	0.00
2018	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2016	0
Overton	2017	0
Overton	2018	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0

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