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Problems in Experiment with Biological Signals in Software Engineering: The Case of the EEG

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Software Technology: Methods and Tools (TOOLS 2019)

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Abstract

The electroencephalograph (EEG) signal is one of the most widely used signal in the field of computer science to analyze the electrical brain waves from software developers and students. In this paper we present initial research results of an empirical study related to application of EEG in measurement of software development activities. We discuss existing methods and problems of running such experiments in future. In particular, we focus on the different kinds of limitations implied by modern EEG devices as well as the issues related to evaluation of the collected data set.

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Correspondence to Ananga Thapaliya .

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Tarasau, H., Thapaliya, A., Zufarova, O. (2019). Problems in Experiment with Biological Signals in Software Engineering: The Case of the EEG. In: Mazzara, M., Bruel, JM., Meyer, B., Petrenko, A. (eds) Software Technology: Methods and Tools. TOOLS 2019. Lecture Notes in Computer Science(), vol 11771. Springer, Cham. https://doi.org/10.1007/978-3-030-29852-4_6

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  • DOI: https://doi.org/10.1007/978-3-030-29852-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29851-7

  • Online ISBN: 978-3-030-29852-4

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