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

Katedra Automatyki i Robotyki (RAU/RAU3)

Automatix Sp. Z O.o.

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

11 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	876-880
Liczba stron	5
ISBN (elektroniczny)	9781538643259
Identyfikatory DOI	https://doi.org/10.1109/MMAR.2018.8486143
Status publikacji	Opublikowano - 8 paź 2018
Wydarzenie	23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 - Miedzyzdroje, Polska Czas trwania: 27 sie 2018 → 30 sie 2018

Seria publikacji

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

Konferencja

Konferencja	23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018
Kraj/Terytorium	Polska
Miejscowość	Miedzyzdroje
Okres	27/08/18 → 30/08/18

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 7 Przystępna i czysta energia
Cel 9 Przemysł, innowacje i infrastruktura
Cel 12 Odpowiedzialne zużycie i produkcja

Obszary tematyczne ASJC Scopus

Sztuczna inteligencja
Inżynieria mechaniczna
Sterowanie i optymalizacja

Uzyskaj dostęp do dokumentu

10.1109/MMAR.2018.8486143

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Kocerka, J., Krzeslak, M., & Galuszka, A. (2018). Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. W 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 (str. 876-880). Artykułu 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. str. 876-880 (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018).

@inproceedings{4a162876b19c4b2198e21451db801f9d,

title = "Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review",

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",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 ; Conference date: 27-08-2018 Through 30-08-2018",

year = "2018",

month = oct,

day = "8",

doi = "10.1109/MMAR.2018.8486143",

language = "English",

series = "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",

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

address = "United States",

}

Kocerka, J, Krzeslak, M & Galuszka, A 2018, Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review. w 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., str. 876-880, 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, Miedzyzdroje, Polska, 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. str. 876-880 8486143 (2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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. W 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. Institute of Electrical and Electronics Engineers Inc. 2018. str. 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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie