Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review

Jerzy Kocerka; Michal Krzeslak; Adam Galuszka

doi:10.1109/MMAR.2018.8486143

Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review

Jerzy Kocerka
, Michal Krzeslak
, Adam Galuszka

Department of Automatic Control and Robotics (RAU/RAU3)

Automatix Sp. Z O.o.

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

11 Citations (Scopus)

Abstract

Requirements engineering plays an important role in quality assurance, which is especially important for complex, embedded, safety-related systems. Such systems are often subject to additional regulations regarding functional safety such as ISO 26262 norm for road vehicles or EN 50128 for railway industry. Verifying quality of the requirements is a first step both for validation and verification of the system under test. This paper presents a review of the existing methods of automatic detection of the ambiguity and automatic assessment of the requirements quality together with the possible, future fields of research.

Original language	English
Title of host publication	2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	876-880
Number of pages	5
ISBN (Electronic)	9781538643259
DOIs	https://doi.org/10.1109/MMAR.2018.8486143
Publication status	Published - 8 Oct 2018
Event	23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 - Miedzyzdroje, Poland Duration: 27 Aug 2018 → 30 Aug 2018

Publication series

Name	2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018

Conference

Conference	23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018
Country/Territory	Poland
City	Miedzyzdroje
Period	27/08/18 → 30/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Natural Language Parsing
Requirements Engineering
Software Engineering
Software Testing

ASJC Scopus subject areas

Artificial Intelligence
Mechanical Engineering
Control and Optimization

Access to Document

10.1109/MMAR.2018.8486143

Cite this

Kocerka, J., Krzeslak, M., & Galuszka, A. (2018). Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. In 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 (pp. 876-880). Article 8486143 (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2018.8486143

Kocerka, Jerzy ; Krzeslak, Michal ; Galuszka, Adam. / Analysing Quality of Textual Requirements Using Natural Language Processing : A Literature Review. 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 876-880 (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018).

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abstract = "Requirements engineering plays an important role in quality assurance, which is especially important for complex, embedded, safety-related systems. Such systems are often subject to additional regulations regarding functional safety such as ISO 26262 norm for road vehicles or EN 50128 for railway industry. Verifying quality of the requirements is a first step both for validation and verification of the system under test. This paper presents a review of the existing methods of automatic detection of the ambiguity and automatic assessment of the requirements quality together with the possible, future fields of research.",

keywords = "Natural Language Parsing, Requirements Engineering, Software Engineering, Software Testing",

author = "Jerzy Kocerka and Michal Krzeslak and Adam Galuszka",

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doi = "10.1109/MMAR.2018.8486143",

language = "English",

series = "2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018",

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Kocerka, J, Krzeslak, M & Galuszka, A 2018, Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. in 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018., 8486143, 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, Institute of Electrical and Electronics Engineers Inc., pp. 876-880, 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, Miedzyzdroje, Poland, 27/08/18. https://doi.org/10.1109/MMAR.2018.8486143

Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. / Kocerka, Jerzy; Krzeslak, Michal; Galuszka, Adam.
2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 876-880 8486143 (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018).

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

TY - GEN

T1 - Analysing Quality of Textual Requirements Using Natural Language Processing

T2 - 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018

AU - Kocerka, Jerzy

AU - Krzeslak, Michal

AU - Galuszka, Adam

PY - 2018/10/8

Y1 - 2018/10/8

N2 - Requirements engineering plays an important role in quality assurance, which is especially important for complex, embedded, safety-related systems. Such systems are often subject to additional regulations regarding functional safety such as ISO 26262 norm for road vehicles or EN 50128 for railway industry. Verifying quality of the requirements is a first step both for validation and verification of the system under test. This paper presents a review of the existing methods of automatic detection of the ambiguity and automatic assessment of the requirements quality together with the possible, future fields of research.

AB - Requirements engineering plays an important role in quality assurance, which is especially important for complex, embedded, safety-related systems. Such systems are often subject to additional regulations regarding functional safety such as ISO 26262 norm for road vehicles or EN 50128 for railway industry. Verifying quality of the requirements is a first step both for validation and verification of the system under test. This paper presents a review of the existing methods of automatic detection of the ambiguity and automatic assessment of the requirements quality together with the possible, future fields of research.

KW - Natural Language Parsing

KW - Requirements Engineering

KW - Software Engineering

KW - Software Testing

UR - https://www.scopus.com/pages/publications/85056465484

U2 - 10.1109/MMAR.2018.8486143

DO - 10.1109/MMAR.2018.8486143

M3 - Conference contribution

AN - SCOPUS:85056465484

T3 - 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018

SP - 876

EP - 880

BT - 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 August 2018 through 30 August 2018

ER -

Kocerka J, Krzeslak M, Galuszka A. Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. In 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 876-880. 8486143. (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018). doi: 10.1109/MMAR.2018.8486143

Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this