Approximator: Predicting Interruptibility in Software Development with Commodity Computers

Paolo Tell, Shahram Jalaliniya, Kristian S. M. Andersen, Mads D. Christensen, Anders B. Mellson, Jakob Bardram

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Assessing the presence and availability of a remote colleague is key in coordination in global software development but is not easily done using existing computer-mediated channels. Previous research has shown that automated estimation of interruptibility is feasible and can achieve a precision closer to, or even better than, human judgment. However, existing approaches to assess interruptibility have been designed to rely on external sensors. In this paper, we present Approximator, a system that estimates the interruptibility of a user based exclusively on the sensing ability of commodity laptops. Experimental results show that the information aggregated from several activity monitors (i.e., Key-logger, mouse-logger, and face-detection) provide useful data, which, once combined with machine learning techniques, can automatically estimate the interruptibility of users with a 78% accuracy. These early but promising results represent a starting point for designing tools with support for interruptibility capable of improving distributed awareness and cooperation to be used in global software development.
OriginalsprogEngelsk
Titel10th International Conference on Global Software Engineering (ICGSE) 2015
Antal sider10
ForlagIEEE Computer Society Press
Publikationsdato16 jul. 2015
Sider90-99
ISBN (Trykt)978-1-4799-8409-1
StatusUdgivet - 16 jul. 2015

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