TY - GEN
T1 - (Automated) Literature Analysis - Threats and Experiences
AU - Shakeel, Yusra
AU - Krüger, Jacob
AU - Nostitz-Wallwitz, Ivonne von
AU - Lausberger, Christian
AU - Durand, Gabriel Campero
AU - Saake, Gunter
AU - Leich, Thomas
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2018
Y1 - 2018
N2 - The number of scientific publications is increasing each year, specifically in the field of computer science. In order to condense existing knowledge, evidence-based software engineering is concerned with systematic literature reviews, surveys, and other kinds of literature analysis. These methods are used to summarize the evidence on empirical studies – or approaches in general – and to identify gaps for new research opportunities. However, executing systematic review processes requires a considerable amount of time and effort. Consequently, researchers have proposed several semi-automated approaches to support and facilitate different steps of such methods. With our current research, we aim to assist researchers to efficiently and effectively execute different steps, namely the search for and selection of primary studies. In this paper, we report several issues we identified during our research that threaten any kind of literature analysis and hamper suitable tool support. We further recommend solutions to mitigate these threats. Overall, our goal is to raise researchers’ and publishers’ awareness regarding several potential threats on literature analysis, to support software engineers in designing suitable tools for research, and to encourage the research community to solve these threats.
AB - The number of scientific publications is increasing each year, specifically in the field of computer science. In order to condense existing knowledge, evidence-based software engineering is concerned with systematic literature reviews, surveys, and other kinds of literature analysis. These methods are used to summarize the evidence on empirical studies – or approaches in general – and to identify gaps for new research opportunities. However, executing systematic review processes requires a considerable amount of time and effort. Consequently, researchers have proposed several semi-automated approaches to support and facilitate different steps of such methods. With our current research, we aim to assist researchers to efficiently and effectively execute different steps, namely the search for and selection of primary studies. In this paper, we report several issues we identified during our research that threaten any kind of literature analysis and hamper suitable tool support. We further recommend solutions to mitigate these threats. Overall, our goal is to raise researchers’ and publishers’ awareness regarding several potential threats on literature analysis, to support software engineers in designing suitable tools for research, and to encourage the research community to solve these threats.
KW - Lessons Learned
KW - Systematic literature review
KW - Threats to validity
KW - Software engineering
KW - Literature analysis
U2 - 10.1145/3194747.3194748
DO - 10.1145/3194747.3194748
M3 - Conference contribution
SP - 20
EP - 27
BT - International Workshop on Software Engineering for Science (SE4Science)
PB - Association for Computing Machinery, Inc
ER -