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Seminar: Applying Machine Learning to the Identification and Classification of Usability Requirements

Dates:20 November 2019
Times:14:00 - 15:00
What is it:Seminar
Organiser:Department of Computer Science
Who is it for:University staff, Adults, Current University students
Speaker:Manal Binkhonain
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  • Computer Science Mercury Talk

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  • In category "Seminar"
  • In group "(CS) Computer Science seminar series"
  • In group "(CS) Human centred computing"
  • By Department of Computer Science

Join us for our forthcoming Computer Science Mercury talk with speaker Manal Binkhonain in Kilburn L.T 1.5

In the last few years, supervised machine learning algorithms have been widely applied to detect and classify non-functional requirements, focusing on providing more automatic analysis for a specific non-functional category (eg: security). Despite the importance of usability for all interactive systems, few attempts have been made to analyse and classify usability requirements (URs). The challenge is twofold: There are a variety of definitions and classifications of usability concepts, each of which characterises usability through different aspects and measures. And it is difficult to identify these requirements due to the cross-cutting nature of URs and the ambiguity inherent in natural language text. In this talk, we will present our ongoing experiments toward using machine learning algorithms to fully automate the process of classifying and analysing URs written in natural documents. Our results are compared with other baseline approaches and existing works.

Speaker

Manal Binkhonain

Role: PhD student

Organisation: University of Manchester

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L.T 1.5
Kilburn Building
Manchester

 

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