2015 IEEE 5th Workshop on Mining Unstructured Data, MUD 2015 - Proceedings

Country

United States

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

Subject Area and Category

Business, Management and Accounting
- Industrial Relations

Computer Science
- Information Systems
- Software

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Welcome to MUD 2015, the 5th Workshop on Mining Unstructured Data. The workshop is co-located with the 31st International Conference on Software Maintenance and Evolution (ICSME 2015) and is taking place in Bremen, Germany. To analyze, comprehend, and reverse engineer software projects and their software development processes, we rely on various sources of information. Bug reports, execution logs, mailing lists, code review reports, change logs, requirements documents, and the actual source code contain implicit developer knowledge about the project and past development efforts. Most of this knowledge is captured as unstructured information: natural language text used to exchange information among people. Researchers in the Information Retrieval, Data Mining, and Natural Language Processing fields have experimented with various techniques and ad-hoc approaches to enable the mining of unstructured data. However, these techniques were not designed to work with the complexities and peculiarities of unstructured software engineering data. Mining unstructured software engineering data poses new and unique challenges, and addressing them is the goal of this workshop. The 5th Workshop on Mining Unstructured Data (MUD 2015) aims to stimulate discussion between researchers in the field, to encourage cross-fertilization from different research domains, including Natural Language Processing, Information Retrieval, and Machine Learning, and to document and advance the state of the art of MUD in 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
2016	0.108
2017	0.128
2018	0.158

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	0.200
Cites / Doc. (4 years)	2017	0.800
Cites / Doc. (4 years)	2018	1.000
Cites / Doc. (3 years)	2016	0.200
Cites / Doc. (3 years)	2017	0.800
Cites / Doc. (3 years)	2018	1.000
Cites / Doc. (2 years)	2016	0.200
Cites / Doc. (2 years)	2017	0.800
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	1
Total Cites	2017	4
Total Cites	2018	5

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	0.200
External Cites per document	2017	0.800
External Cites per document	2018	1.000
Cites per document	2016	0.200
Cites per document	2017	0.800
Cites per document	2018	1.000

% 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	3
Citable documents	2017	3
Citable documents	2018	3

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	4
Uncited documents	2017	4
Uncited documents	2018	3
Cited documents	2016	1
Cited documents	2017	1
Cited documents	2018	2

% 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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