Users’ Comment Mining for App Software’s Quality-in-Use-Reference-Cited by-同舟云学术

Users’ Comment Mining for App Software’s Quality-in-Use

Published:2019 Issue: Volume: Page:510-525
ISSN:1865-0929
Container-title:Computer Supported Cooperative Work and Social Computing
language:
Short-container-title:

Author:

Jiang Ying,Hu Tianyuan,Zhao Hong

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1377-0_40

Reference20 articles.

1. Lecture Notes in Electrical Engineering;I Atoum,2014

2. Atoum, I., Bong, C.H., Kulathuramaiyer, N.: Towards Resolving Software Quality-in-Use Measurement Challenges. arXiv preprint arXiv:1501.07676 (2015)

3. Atoum, I., Otoom, A.: Mining software quality from software reviews: research trends and open issues. Int. J. Emerg. Trends Technol. Comput. Sci. 31(2), 74–83 (2016)

4. Atoum, I.: A novel framework for measuring software quality-in-use based on semantic similarity and sentiment analysis of software reviews. J. King Saud Univ.-Comput. Inf. Sci. (2018)

5. Atoum, I.: A scalable operational framework for requirements validation using semantic and functional models. In: Proceedings of the 2nd International Conference on Software Engineering and Information Management, pp. 1–6. ACM (2019)

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