Supporting systematic literature reviews using deep-learning-based language models

Author:

Alchokr Rand1,Borkar Manoj1,Thotadarya Sharanya1,Saake Gunter1,Leich Thomas2

Affiliation:

1. Otto-von-Guericke University, Magdeburg, Germany

2. Harz University, Magdeburg, Germany

Publisher

ACM

Reference31 articles.

1. Ahmed Al-Shaaby , Hamoud Aljamaan , and Mohammad Alshayeb . 2020. Bad Smell Detection Using Machine Learning Techniques: A Systematic Literature Review. Arabian Journal for Science and Engineering 45 (01 2020 ). Ahmed Al-Shaaby, Hamoud Aljamaan, and Mohammad Alshayeb. 2020. Bad Smell Detection Using Machine Learning Techniques: A Systematic Literature Review. Arabian Journal for Science and Engineering 45 (01 2020).

2. Abdulrahman Baqais and Mohammad Alshayeb . 2020. Automatic software refactoring: a systematic literature review. Software Quality Journal 28 (06 2020 ). Abdulrahman Baqais and Mohammad Alshayeb. 2020. Automatic software refactoring: a systematic literature review. Software Quality Journal 28 (06 2020).

3. David Bowes , Tracy Hall , and Sarah Beecham . 2012 . SLuRp - A tool to help large complex systematic literature reviews deliver calid and rigorous results . In EAST'12 - Proc. 2nd Int. Work. Evidential Assess. Softw. Technol. 33--36 . David Bowes, Tracy Hall, and Sarah Beecham. 2012. SLuRp - A tool to help large complex systematic literature reviews deliver calid and rigorous results. In EAST'12 - Proc. 2nd Int. Work. Evidential Assess. Softw. Technol. 33--36.

4. Kevin Clark , Minh Thang Luong , Christopher D. Manning , and Quoc V. Le . 2020. Semi-supervised sequence modeling with cross-view training . In EMNLP 2018. 1914 -- 1925 . Kevin Clark, Minh Thang Luong, Christopher D. Manning, and Quoc V. Le. 2020. Semi-supervised sequence modeling with cross-view training. In EMNLP 2018. 1914--1925.

5. Automated Information Extraction from Empirical Software Engineering Literature: Is that possible?

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