Utilizing biological signals to understand software develop-ers activities has been emerging in recent years, still with limited under-standing of its effective applicability. This paper provides preliminary ev-idence that biological signals collected via electroencephalography (EEG)can provide useful information on the state of mind of software develop-ers, that, then, translates in understanding the effectiveness, quality, andproductivity of their work. The experimentation has been done with 20differently skilled male programmers. Two common situations have beenassessed: pair programming and programming with music. The prelimi-nary outcomes evidence the usefulness of the approach

Amirova R, Busechian S, Ivanov V, Masyagin S, Reprintseva A, Shakirov R, et al. (2020). Preliminary considerations on the effectiveness of the analysis of brain signals to assess the work of software developers. Springer, Cham.

Preliminary considerations on the effectiveness of the analysis of brain signals to assess the work of software developers

Succi G;
2020

Abstract

Utilizing biological signals to understand software develop-ers activities has been emerging in recent years, still with limited under-standing of its effective applicability. This paper provides preliminary ev-idence that biological signals collected via electroencephalography (EEG)can provide useful information on the state of mind of software develop-ers, that, then, translates in understanding the effectiveness, quality, andproductivity of their work. The experimentation has been done with 20differently skilled male programmers. Two common situations have beenassessed: pair programming and programming with music. The prelimi-nary outcomes evidence the usefulness of the approach
2020
H-WORKLOAD: International Symposium on Human Mental Workload: Models and Applications
1
10
Amirova R, Busechian S, Ivanov V, Masyagin S, Reprintseva A, Shakirov R, et al. (2020). Preliminary considerations on the effectiveness of the analysis of brain signals to assess the work of software developers. Springer, Cham.
Amirova R; Busechian S; Ivanov V; Masyagin S; Reprintseva A; Shakirov R; Succi G; Tarasau H; Thapaliya A; Tormasov A; Zufarova O
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/892531
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact