Eleven Years (2005-2015) of Requirements Engineering (RE) Conference Data on Abstracts, Authors, University-Industry Collaboration, Cross-Reference Field and Dataset Type

Published: 29 March 2016| Version 1 | DOI: 10.17632/2cjbzwmphk.1
Contributors:
Ashish Sureka,
Richa Sharma,
Peeyush Aggarwal

Description

The dataset is collected and used for the study presented in the paper: Insights from Mining Eleven Years of Scholarly Paper Publications in Requirements Engineering (RE) Series of Conferences by Richa Sharma, Peeyush Aggarwal and Ashish Sureka - published in ACM SIGSOFT Software Engineering Notes Volume 41 Issue 2 (March 2016) [http://dl.acm.org/citation.cfm?id=J728] The International Requirements Engineering Conference (RE) [http://requirements-engineering.org/] is a prestigious and a long running conference (started in 1993) in the area of Requirements Engineering. RE 2016 is the 24th edition of the conference. A total of 551 papers are published in RE in 11 years [2005-2015] out of which 425 (77.13%) are in research track and 126 (22.87%) are in industry track. The dataset contains the abstract for all the 551 papers and information on the topic of the paper, internal and external collaboration, university and industry collaboration, authors name and country, cross-referencing fields in the paper, type of dataset used and nature of dataset (public or proprietary). The information in the dataset is organized based on the year and the track (industry or research) of the paper.

Files

Steps to reproduce

The dataset is derived from information which is publicly available in the IEEE Digital Library. The dataset is derived from extracting several fields from 551 research papers in Requirements Engineering series of Conferences (RE). The dataset is easily reproduced as the list of fields extracted [topic of the paper, internal and external collaboration, university and industry collaboration, authors name and country, cross-referencing fields in the paper, type of dataset used and nature of dataset (public or proprietary)] and the time-period (Eleven Years 2005-2015) is clearly stated in the description of the dataset. The information was manually extracted and no program was used to extract the information.