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Using Tools for the Analysis of the Mental Activity of Programmers

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Brain Informatics (BI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12960))

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Abstract

Programmers are the most important part of software production and individual developers are hard to substitute. The essential part of the knowledge intensive development process is the developers mind state. Understanding the mental states of software developers has become a main interest of software production companies since it is the most valuable resource for software development. However the main challenge in analysing the software developers mental states is that most precise equipment, such as fMRI, is extremely expensive and not portable. Thus, fMRI approximation from EEG readings tools such as MNE, have been developed over the years. The idea of recreating the fMRI based on EEG signal is the main motivation for the current work. This research explains how we used this tool in our studies.

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Authors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Rozaliya Amirova, Gcinizwe Dlamini, Vladimir Ivanov, Sergey Masyagin, Giancarlo Succi & Herman Tarasau

  2. Rudn University, Moscow, Russia

    Aldo Spallone

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  1. Rozaliya Amirova
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  2. Gcinizwe Dlamini
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  3. Vladimir Ivanov
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  4. Sergey Masyagin
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  5. Aldo Spallone
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  6. Giancarlo Succi
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  7. Herman Tarasau
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Correspondence to Gcinizwe Dlamini .

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Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Dhaka, Bangladesh

    M Shamim Kaiser

  3. University of Padua, Padua, Italy

    Stefano Vassanelli

  4. Tsinghua University, Beijing, China

    Qionghai Dai

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Amirova, R. et al. (2021). Using Tools for the Analysis of the Mental Activity of Programmers. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_30

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