software . 2019

Predicting How to Test Requirements: An Automated Approach

Vogelsang, Andreas; Winkler, Jonas; Grönberg, Jannis;
Open Source
  • Published: 01 Jan 2019
  • Publisher: figshare
Abstract
<div>This artifact provides the code underlying the RE'19 Paper: </div><div><br></div><div>J.P. Winkler, J. Grönberg, A. Vogelsang: "Predicting how to test requirements: An automated approach". 27th IEEE International Requirements Engineering Conference (RE), 2019.</div><div><br></div><div>The code trains and afterwards evaluates a convolutional neural network that classifies requirements, with regard to its potential verification method. </div><div><br></div><div>Due to non-disclosure agreements, the artifact does not contain the original datsets nor the word2vec models that we used in the paper to evaluate our approach. </div><div>However we provide a sample d...
Subjects
free text keywords: Applied Computer Science, Computer Software, FOS: Computer and information sciences, 80107 Natural Language Processing, Requirements engineering, Natural Language Processing, Machine Learning
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Digital Humanities and Cultural Heritage
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Software . 2019
Provider: figshare
figshare
Software . 2019
Provider: Datacite
figshare
Software . 2019
Provider: Datacite
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