research-article

Natural language based component extraction from requirement engineering document and its complexity analysis

Authors:

Dharmender Singh KushwahaAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 36, Issue 1

Pages 1 - 14

https://doi.org/10.1145/1921532.1921547

Published: 24 January 2011 Publication History

Abstract

Requirement engineering document (IEEE-830: 1998) plays a very significant role in software development. The size and complexity of software systems are continuously increasing. As scale changes to more complex and larger systems, new problems occur that did not exist in smaller systems This leads to redefining priorities of the activities that go into developing software. As systems ges complex, it becomes evident that the goals of the entire system can't be easily comprehended. Hence the need of more rigorous requirement analysis arises. The requirement analyst has to identify the requirements by using various methods like interviews, brainstorming, FAST (facilitated application specification techniques), quality function deployment, use-case etc. To overcome these issues, this paper proposes object based semi-automated system that categorize the requirements and further identifies the component based on requirement engineering document in a component library and further analyses the complexity of components and its usage.

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Cited By

Vierlboeck MNilchiani RBlackburn M(2024)Natural Language Processing to assess structure and complexity of system requirementsSystems Engineering10.1002/sys.21784Online publication date: 11-Sep-2024
https://doi.org/10.1002/sys.21784
Ghanawi IChami MChami MCoric MAbdoun N(2024)Integrating AI with MBSE for Data Extraction from Medical StandardsINCOSE International Symposium10.1002/iis2.1321234:1(1354-1366)Online publication date: 7-Sep-2024
https://doi.org/10.1002/iis2.13212
Awan MButt WAnwar MAzam F(2022)Seamless Runtime Transformations from Natural Language to Formal Methods – A usecase of Z-Notation2022 17th Annual System of Systems Engineering Conference (SOSE)10.1109/SOSE55472.2022.9812644(375-380)Online publication date: 7-Jun-2022
https://doi.org/10.1109/SOSE55472.2022.9812644
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Index Terms

Natural language based component extraction from requirement engineering document and its complexity analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis
      2. Software implementation planning
        Software design techniques
    2. Software development process management

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 36, Issue 1

January 2011

210 pages

ISSN:0163-5948

DOI:10.1145/1921532

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Copyright © 2011 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 January 2011

Published in SIGSOFT Volume 36, Issue 1

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Cited By

Vierlboeck MNilchiani RBlackburn M(2024)Natural Language Processing to assess structure and complexity of system requirementsSystems Engineering10.1002/sys.21784Online publication date: 11-Sep-2024
https://doi.org/10.1002/sys.21784
Ghanawi IChami MChami MCoric MAbdoun N(2024)Integrating AI with MBSE for Data Extraction from Medical StandardsINCOSE International Symposium10.1002/iis2.1321234:1(1354-1366)Online publication date: 7-Sep-2024
https://doi.org/10.1002/iis2.13212
Awan MButt WAnwar MAzam F(2022)Seamless Runtime Transformations from Natural Language to Formal Methods – A usecase of Z-Notation2022 17th Annual System of Systems Engineering Conference (SOSE)10.1109/SOSE55472.2022.9812644(375-380)Online publication date: 7-Jun-2022
https://doi.org/10.1109/SOSE55472.2022.9812644
Cai MTan YGe BDou YHuang GDu Y(2022)PURA: A Product-and-User Oriented Approach for Requirement Analysis From Online ReviewsIEEE Systems Journal10.1109/JSYST.2021.306733416:1(566-577)Online publication date: Mar-2022
https://doi.org/10.1109/JSYST.2021.3067334
Tanjong ECarver D(2021)Improving Impact and Dependency Analysis through Software Categorization Methods2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)10.1109/CONISOFT52520.2021.00029(142-151)Online publication date: Oct-2021
https://doi.org/10.1109/CONISOFT52520.2021.00029
Reinhartz-Berger IKemelman M(2020)Extracting core requirements for software product linesRequirements Engineering10.1007/s00766-018-0307-025:1(47-65)Online publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1007/s00766-018-0307-0
Jeon KLee GJeong H(2020)Classification of the Requirement Sentences of the US DOT Standard Specification Using Deep Learning AlgorithmsProceedings of the 18th International Conference on Computing in Civil and Building Engineering10.1007/978-3-030-51295-8_8(89-97)Online publication date: 14-Jul-2020
https://doi.org/10.1007/978-3-030-51295-8_8
Nazir FButt WAnwar MKhan Khattak M(2017)The Applications of Natural Language Processing (NLP) for Software Requirement Engineering - A Systematic Literature ReviewInformation Science and Applications 201710.1007/978-981-10-4154-9_56(485-493)Online publication date: 18-Mar-2017
https://doi.org/10.1007/978-981-10-4154-9_56
Avinash Gupta Anshu Gupta Kushwaha D(2016)Test Case Reduction Using Decision Table for Requirements SpecificationsProceedings of the International Congress on Information and Communication Technology10.1007/978-981-10-0755-2_44(411-418)Online publication date: 9-Jun-2016
https://doi.org/10.1007/978-981-10-0755-2_44
Uhm MLee GPark YKim SJung JLee J(2015)Requirements for computational rule checking of requests for proposals (RFPs) for building designs in South KoreaAdvanced Engineering Informatics10.1016/j.aei.2015.05.00629:3(602-615)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1016/j.aei.2015.05.006
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