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A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence

Shruti Mishra1 , Vijay Birchha2 , Bhawna Nigam3

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 383-387, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.383387

Online published on Dec 31, 2018

Copyright © Shruti Mishra, Vijay Birchha, Bhawna Nigam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Shruti Mishra, Vijay Birchha, Bhawna Nigam, “A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.383-387, 2018.

MLA Style Citation: Shruti Mishra, Vijay Birchha, Bhawna Nigam "A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence." International Journal of Computer Sciences and Engineering 6.12 (2018): 383-387.

APA Style Citation: Shruti Mishra, Vijay Birchha, Bhawna Nigam, (2018). A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence. International Journal of Computer Sciences and Engineering, 6(12), 383-387.

BibTex Style Citation:
@article{Mishra_2018,
author = {Shruti Mishra, Vijay Birchha, Bhawna Nigam},
title = {A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {383-387},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3348},
doi = {https://doi.org/10.26438/ijcse/v6i12.383387}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.383387}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3348
TI - A Systematic Literature Survey for Detecting Ambiguity in SRS Using Artificial Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Shruti Mishra, Vijay Birchha, Bhawna Nigam
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 383-387
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

Research in recent years has shown integration amongst the significant and dynamic areas of software engineering and semantic web engineering. The success of any software system is depending on how well it meets the requirements of the stakeholders. A software requirement specification written in natural languages, are basically ambiguous, which makes the documentation unclear. Due to unclear requirements, software developers develop software, which is different from the expected software based on the customer needs. Therefore, well documented requirements should be unambiguous and it is possible only when it has only one meaning.The main purpose of this research is to propose a technique that is able to detect ambiguity in software requirements specification document automatically using artificial intelligence. To validate the outcome of the proposed work, generated result of the proposed work will be evaluated and validated by making the comparison between the proposed prototype results, previous ambiguity detection framework and human-generated results to decide how the proposed work is more efficient and reliable for ambiguity detection.

Key-Words / Index Term

Software Requirements Specification, Artificial Intelligence, Deep Learning, Ambiguity Detection

References

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