Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation

Waad Alhoshan; Riza Theresa Batista-Navarro; Liping Zhao

doi:10.1145/3239235.3267441

Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation

Waad Alhoshan, Riza Theresa Batista-Navarro, Liping Zhao

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Identifying relationships between requirements described in natural
language (NL) is a difficult task in requirements engineering (RE).
This paper presents a novel approach that uses Semantic Frames
in FrameNet to find the relationships between requirements. Our
initial validation shows that the approach is promising, with an FScore
of 83%. Our next step is to use the approach to identify implicit
requirements relationships and finding requirements traceability
links

Original language	English
Title of host publication	Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
Publisher	Association for Computing Machinery
DOIs	https://doi.org/10.1145/3239235.3267441 https://doi.org/10.1145/3239235.3267441
Publication status	Published - 11 Oct 2018

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Alhoshan, W., Batista-Navarro, R. T., & Zhao, L. (2018). Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation. In Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Association for Computing Machinery. https://doi.org/10.1145/3239235.3267441, https://doi.org/10.1145/3239235.3267441

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Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation. / Alhoshan, Waad; Batista-Navarro, Riza Theresa ; Zhao, Liping.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Association for Computing Machinery, 2018.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Zhao, Liping

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PB - Association for Computing Machinery

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Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation

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