Building a Pilot Software Quality-in-Use Benchmark Dataset

Issa, Atoum and Bong, Chih How and Narayanan, Kulathuramaiyer (2015) Building a Pilot Software Quality-in-Use Benchmark Dataset. 9th International Conference on IT in Asia (CITA), 2015. ISSN ISBN: 978-1-4799-9939-2

Building a Pilot Software Quality-in-Use benchmark Dataset (abstract).pdf

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Prepared domain specific datasets plays an important role to supervised learning approaches. In this article a new sentence dataset for software quality-in-use is proposed. Three experts were chosen to annotate the data using a proposed annotation scheme. Then the data were reconciled in a (no match eliminate) process to reduce bias. The Kappa, k statistics revealed an acceptable level of agreement; moderate to substantial agreement between the experts. The built data can be used to evaluate software quality-in-use models in sentiment analysis models. Moreover, the annotation scheme can be used to extend the current dataset.

Item Type: Article
Uncontrolled Keywords: Quality in use, Benchmark dataset, software quality, sentiment analysis, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 23 May 2017 06:20
Last Modified: 23 May 2017 06:20

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