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arXiv · 1509.05736

Building a Pilot Software Quality-in-Use Benchmark Dataset

Issa Atoum·Chih How Bong·Narayanan Kulathuramaiyer
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Abstract

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.

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Issa Atoum, Chih How Bong, Narayanan Kulathuramaiyer. 2015-09-18. Building a Pilot Software Quality-in-Use Benchmark Dataset. https://arxiv.org/abs/1509.05736

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