TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements

Saad Ezzini; Sallam Abualhaija; Chetan Arora; Mehrdad Sabetzadeh

doi:10.1145/3540250.3558928

TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements

Saad Ezzini
, Sallam Abualhaija
, Chetan Arora
, Mehrdad Sabetzadeh

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

6 Scopus citations

Abstract

We introduce TAPHSIR - a tool for anaphoric ambiguity detection and anaphora resolution in requirements. TAPHSIR facilities reviewing the use of pronouns in a requirements specification and revising those pronouns that can lead to misunderstandings during the development process. To this end, TAPHSIR detects the requirements which have potential anaphoric ambiguity and further attempts interpreting anaphora occurrences automatically. TAPHSIR employs a hybrid solution composed of an ambiguity detection solution based on machine learning and an anaphora resolution solution based on a variant of the BERT language model. Given a requirements specification, TAPHSIR decides for each pronoun occurrence in the specification whether the pronoun is ambiguous or unambiguous, and further provides an automatic interpretation for the pronoun. The output generated by TAPHSIR can be easily reviewed and validated by requirements engineers. TAPHSIR is publicly available on Zenodo (https://doi.org/10.5281/zenodo.5902117).

Original language	English
Title of host publication	ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Editors	Abhik Roychoudhury, Cristian Cadar, Miryung Kim
Publisher	Association for Computing Machinery, Inc
Pages	1677-1681
Number of pages	5
ISBN (Electronic)	9781450394130
DOIs	https://doi.org/10.1145/3540250.3558928
State	Published - 7 Nov 2022
Externally published	Yes
Event	30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022 - Singapore, Singapore Duration: 14 Nov 2022 → 18 Nov 2022

Publication series

Name	ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Conference

Conference	30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022
Country/Territory	Singapore
City	Singapore
Period	14/11/22 → 18/11/22

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

Ambiguity
BERT
Machine Learning
Natural Language Processing
Natural-language Requirements
Requirements Engineering

ASJC Scopus subject areas

Artificial Intelligence
Software

Access to Document

10.1145/3540250.3558928

Cite this

Ezzini, S., Abualhaija, S., Arora, C., & Sabetzadeh, M. (2022). TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements. In A. Roychoudhury, C. Cadar, & M. Kim (Eds.), ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 1677-1681). (ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering). Association for Computing Machinery, Inc. https://doi.org/10.1145/3540250.3558928

Ezzini, Saad ; Abualhaija, Sallam ; Arora, Chetan et al. / TAPHSIR : towards AnaPHoric ambiguity detection and ReSolution in requirements. ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. editor / Abhik Roychoudhury ; Cristian Cadar ; Miryung Kim. Association for Computing Machinery, Inc, 2022. pp. 1677-1681 (ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

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abstract = "We introduce TAPHSIR - a tool for anaphoric ambiguity detection and anaphora resolution in requirements. TAPHSIR facilities reviewing the use of pronouns in a requirements specification and revising those pronouns that can lead to misunderstandings during the development process. To this end, TAPHSIR detects the requirements which have potential anaphoric ambiguity and further attempts interpreting anaphora occurrences automatically. TAPHSIR employs a hybrid solution composed of an ambiguity detection solution based on machine learning and an anaphora resolution solution based on a variant of the BERT language model. Given a requirements specification, TAPHSIR decides for each pronoun occurrence in the specification whether the pronoun is ambiguous or unambiguous, and further provides an automatic interpretation for the pronoun. The output generated by TAPHSIR can be easily reviewed and validated by requirements engineers. TAPHSIR is publicly available on Zenodo (https://doi.org/10.5281/zenodo.5902117).",

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author = "Saad Ezzini and Sallam Abualhaija and Chetan Arora and Mehrdad Sabetzadeh",

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Ezzini, S, Abualhaija, S, Arora, C & Sabetzadeh, M 2022, TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements. in A Roychoudhury, C Cadar & M Kim (eds), ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Association for Computing Machinery, Inc, pp. 1677-1681, 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, 14/11/22. https://doi.org/10.1145/3540250.3558928

TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements. / Ezzini, Saad; Abualhaija, Sallam; Arora, Chetan et al.
ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ed. / Abhik Roychoudhury; Cristian Cadar; Miryung Kim. Association for Computing Machinery, Inc, 2022. p. 1677-1681 (ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

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

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AU - Abualhaija, Sallam

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AB - We introduce TAPHSIR - a tool for anaphoric ambiguity detection and anaphora resolution in requirements. TAPHSIR facilities reviewing the use of pronouns in a requirements specification and revising those pronouns that can lead to misunderstandings during the development process. To this end, TAPHSIR detects the requirements which have potential anaphoric ambiguity and further attempts interpreting anaphora occurrences automatically. TAPHSIR employs a hybrid solution composed of an ambiguity detection solution based on machine learning and an anaphora resolution solution based on a variant of the BERT language model. Given a requirements specification, TAPHSIR decides for each pronoun occurrence in the specification whether the pronoun is ambiguous or unambiguous, and further provides an automatic interpretation for the pronoun. The output generated by TAPHSIR can be easily reviewed and validated by requirements engineers. TAPHSIR is publicly available on Zenodo (https://doi.org/10.5281/zenodo.5902117).

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Ezzini S, Abualhaija S, Arora C, Sabetzadeh M. TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements. In Roychoudhury A, Cadar C, Kim M, editors, ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery, Inc. 2022. p. 1677-1681. (ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering). doi: 10.1145/3540250.3558928

TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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