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Article

A framework for identifying and analyzing non-functional requirements from text

Authors:

Vibhu Saujanya Sharma,

Roshni R. Ramnani,

Shubhashis SenguptaAuthors Info & Claims

TwinPeaks 2014: Proceedings of the 4th International Workshop on Twin Peaks of Requirements and Architecture

Pages 1 - 8

https://doi.org/10.1145/2593861.2593862

Published: 01 June 2014 Publication History

Abstract

Early identification of Non-Functional Requirements (NFRs) is important as this has direct bearing on the design and architecture of the system. NFRs form the basis for architects to create the technical architecture of the system which acts as the scaffolding in which the functionality of the same is delivered. Failure to identify and analyze NFRs early-on can result in unclassified, incomplete or conflicting NFRs, and this typically results in costly rework in later stages of the software development. In practice, this activity is primarily done manually. In this paper, we present a framework to automatically detect and classify non-functional requirements from textual natural language requirements. Our approach to identify NFRs is based on extracting multiple features by parsing the natural language requirement whereby the presence of a certain combination of and relationship among the features uniquely identifies the requirement as an NFR of a particular category. These features are specified as pattern based rules which can be specified in a human readable language through the use of a domain specific language that we have defined. This enables great ease and flexibility in creating and extending rules. Our approach has been implemented as a prototype tool and here we also present the results of applying our approach on a publicly available requirement corpus.

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Cited By

Dongmo C(2024)A Review of Non-Functional Requirements Analysis Throughout the SDLCComputers10.3390/computers1312030813:12(308)Online publication date: 23-Nov-2024
https://doi.org/10.3390/computers13120308
Balwani STiwari SDasgupta SSharma A(2024)An Approach for Providing Recommendation for Requirements Non-Conformant with Requirement Templates (RTs)Proceedings of the 17th Innovations in Software Engineering Conference10.1145/3641399.3641412(1-11)Online publication date: 22-Feb-2024
https://dl.acm.org/doi/10.1145/3641399.3641412
Sonawane SPuthran S(2024)Classification of functional and nonfunctional requirements based on convolutional neural network with flower pollination optimizerInnovations in Systems and Software Engineering10.1007/s11334-024-00592-zOnline publication date: 4-Nov-2024
https://doi.org/10.1007/s11334-024-00592-z
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Index Terms

A framework for identifying and analyzing non-functional requirements from text
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis

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cover image ACM Conferences

TwinPeaks 2014: Proceedings of the 4th International Workshop on Twin Peaks of Requirements and Architecture

June 2014

27 pages

ISBN:9781450328487

DOI:10.1145/2593861

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 June 2014

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June 1, 2014

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Cited By

Dongmo C(2024)A Review of Non-Functional Requirements Analysis Throughout the SDLCComputers10.3390/computers1312030813:12(308)Online publication date: 23-Nov-2024
https://doi.org/10.3390/computers13120308
Balwani STiwari SDasgupta SSharma A(2024)An Approach for Providing Recommendation for Requirements Non-Conformant with Requirement Templates (RTs)Proceedings of the 17th Innovations in Software Engineering Conference10.1145/3641399.3641412(1-11)Online publication date: 22-Feb-2024
https://dl.acm.org/doi/10.1145/3641399.3641412
Sonawane SPuthran S(2024)Classification of functional and nonfunctional requirements based on convolutional neural network with flower pollination optimizerInnovations in Systems and Software Engineering10.1007/s11334-024-00592-zOnline publication date: 4-Nov-2024
https://doi.org/10.1007/s11334-024-00592-z
Dlodlo NRwafa WMoyo SChilumani K(2023)A Mobile WebRTC-Based Platform to Support Young and Upcoming Researchers2023 2nd Zimbabwe Conference of Information and Communication Technologies (ZCICT)10.1109/ZCICT59466.2023.10528406(1-10)Online publication date: 2-Nov-2023
https://doi.org/10.1109/ZCICT59466.2023.10528406
Nurwidyantoro AShahin MChaudron MHussain WPerera HShams RWhittle J(2023)Integrating human values in software development using a human values dashboardEmpirical Software Engineering10.1007/s10664-023-10305-y28:3Online publication date: 18-Apr-2023
https://dl.acm.org/doi/10.1007/s10664-023-10305-y
Peketi VSatti S(2023)ARCORE: A Requirements Dataset for Service IdentificationBig Data Analytics10.1007/978-3-031-24094-2_4(53-67)Online publication date: 29-Jan-2023
https://doi.org/10.1007/978-3-031-24094-2_4
Olsson TSentilles SPapatheocharous E(2022)A systematic literature review of empirical research on quality requirementsRequirements Engineering10.1007/s00766-022-00373-927:2(249-271)Online publication date: 8-Feb-2022
https://doi.org/10.1007/s00766-022-00373-9
Nurwidyantoro AShahin MChaudron MHussain WPerera HShams RWhittle JLanubile F(2021)Towards a Human Values Dashboard for Software DevelopmentProceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1145/3475716.3475770(1-12)Online publication date: 11-Oct-2021
https://dl.acm.org/doi/10.1145/3475716.3475770
Handa NSharma AGupta A(2020)An Inclusive Study of Several Machine Learning Based Non-functional Requirements Prediction TechniquesFuturistic Trends in Networks and Computing Technologies10.1007/978-981-15-4451-4_38(482-493)Online publication date: 22-Apr-2020
https://doi.org/10.1007/978-981-15-4451-4_38
Sabir MChrysoulas CBanissi E(2020)Multi-label Classifier to Deal with Misclassification in Non-functional RequirementsTrends and Innovations in Information Systems and Technologies10.1007/978-3-030-45688-7_49(486-493)Online publication date: 18-May-2020
https://doi.org/10.1007/978-3-030-45688-7_49
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