From b7e06d19913c46107b353ba877136a9bc7853c1b Mon Sep 17 00:00:00 2001 From: Oliver Karras Date: Mon, 26 Jun 2023 18:43:26 +0200 Subject: [PATCH] Update CFF-File --- CITATION.cff | 42 +++++++++++++++++++++++++++++++++++++++--- 1 file changed, 39 insertions(+), 3 deletions(-) diff --git a/CITATION.cff b/CITATION.cff index c99b969..f9e791c 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -3,7 +3,8 @@ cff-version: 1.2.0 title: >- - Analysis of the State and Evolution of Empirical Research in Requirements Engineering + Analysis of the State and Evolution of Empirical Research + in Requirements Engineering message: >- If you use this software, please cite it using the metadata from this file. @@ -13,10 +14,44 @@ authors: family-names: Karras email: oliver.karras@tib.eu affiliation: >- - TIB - Leibniz Information Centre for Science - and Technology + TIB - Leibniz Information Centre for Science and + Technology orcid: 'https://orcid.org/0000-0001-5336-6899' repository-code: 'https://github.com/okarras/EmpiRE-Analysis' +abstract: >- + [Background.] Empirical research in requirements + engineering (RE) is a constantly evolving topic, with a + growing number of publications. Several papers address + this topic using literature reviews to provide a snapshot + of its "current" state and evolution. However, these + papers have never built on or updated earlier ones, + resulting in overlap and redundancy. The underlying + problem is the unavailability of data from earlier works. + Researchers need technical infrastructures to conduct + sustainable literature reviews. [Aims.] We examine the use + of the Open Research Knowledge Graph (ORKG) as such an + infrastructure to build and publish an initial Knowledge + Graph of Empirical research in RE (KG-EmpiRE) whose data + is openly available. Our long-term goal is to continuously + maintain KG-EmpiRE with the research community to + synthesize a comprehensive, up-to-date, and long-term + available overview of the state and evolution of empirical + research in RE. [Method.] We conduct a literature review + using the ORKG to build and publish KG-EmpiRE which we + evaluate against competency questions derived from a + published vision of empirical research in software + (requirements) engineering for 2020 -- 2025. [Results.] + From 570 papers of the IEEE International Requirements + Engineering Conference (2000 -- 2022), we extract and + analyze data on the reported empirical research and answer + 16 out of 77 competency questions. These answers show a + positive development towards the vision, but also the need + for future improvements. [Conclusions.] The ORKG is a + ready-to-use and advanced infrastructure to organize data + from literature reviews as knowledge graphs. The resulting + knowledge graphs make the data openly available and + maintainable by research communities, enabling sustainable + literature reviews. keywords: - Python - Jupyter notebook @@ -24,3 +59,4 @@ keywords: - Empirical research - Requirements engineering license: MIT +date-released: '2023-06-26'