research-article

ROM: A Requirement Opinions Mining Method Preliminary Try Based on Software Review Data

Authors:

Ning LiAuthors Info & Claims

ICMSS 2020: Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

Pages 26 - 33

https://doi.org/10.1145/3380625.3380665

Published: 19 May 2020 Publication History

Abstract

Requirement opinion mining aims to mine user opinions that can be used to help the mining of software requirements from various data sources. However, in the development of social network systems, software application platforms or stores and other data sources, the massive, noisy, non-standard data, makes the mining of effective requirement opinions more difficult. Therefore, there is less work in software requirements mining based on the data of software review in development social media or application market. This paper attempts to provide some knowledge support for requirement user story establishing in RE based on the opinion mining and clustering of massively software review data. First of all, this paper combines the requirements of the requirements engineering field to define the requirement opinions, functional requirement opinions and non-functional requirements opinions. Secondly, using the deep learning model to classify the functional requirement reviews and non-functional requirements reviews included in the reviews; Based on the differences between functional data and non-functional data, this paper defines three categories in the description of software functional data, and chooses to use sequence labeling methods to identify functional requirements. Then use the K-means clustering method based on word vector to cluster the review data, and combine TF-IDF and syntactic analysis to extract the aspect and aspect requirements or specific requirements of the requirement opinion respectively, so as to realize the requirement opinion mining of software review data. Finally, this article will give a case study based on the user review data of the mobile phone application service platform 360 mobile assistants.

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Cited By

Siddeshwar VAlwidian SMakrehchi M(2024)A Systematic Review of AI-Enabled Frameworks in Requirements ElicitationIEEE Access10.1109/ACCESS.2024.347529312(154310-154336)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3475293
Kusuma WJantan AAbdullah RAdmodisastro NNorowi N(2024)Capturing emotion in user requirement through emotion map for solo software developerPROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON GREEN CIVIL AND ENVIRONMENTAL ENGINEERING (GCEE 2023)10.1063/5.0195320(060020)Online publication date: 2024
https://doi.org/10.1063/5.0195320
Xu XDou YOuyang WJiang JYang KTan Y(2023)A product requirement development method based on multi-layer heterogeneous networksAdvanced Engineering Informatics10.1016/j.aei.2023.10218458:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.102184
Show More Cited By

Index Terms

ROM: A Requirement Opinions Mining Method Preliminary Try Based on Software Review Data
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis

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ICMSS 2020: Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

January 2020

301 pages

ISBN:9781450376419

DOI:10.1145/3380625

Copyright © 2020 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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China University of Geosciences

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Publication History

Published: 19 May 2020

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ICMSS 2020: 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

January 17 - 19, 2020

Wuhan, China

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Cited By

Siddeshwar VAlwidian SMakrehchi M(2024)A Systematic Review of AI-Enabled Frameworks in Requirements ElicitationIEEE Access10.1109/ACCESS.2024.347529312(154310-154336)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3475293
Kusuma WJantan AAbdullah RAdmodisastro NNorowi N(2024)Capturing emotion in user requirement through emotion map for solo software developerPROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON GREEN CIVIL AND ENVIRONMENTAL ENGINEERING (GCEE 2023)10.1063/5.0195320(060020)Online publication date: 2024
https://doi.org/10.1063/5.0195320
Xu XDou YOuyang WJiang JYang KTan Y(2023)A product requirement development method based on multi-layer heterogeneous networksAdvanced Engineering Informatics10.1016/j.aei.2023.10218458:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.102184
Dąbrowski JLetier EPerini ASusi A(2022)Analysing app reviews for software engineering: a systematic literature reviewEmpirical Software Engineering10.1007/s10664-021-10065-727:2Online publication date: 20-Jan-2022
https://doi.org/10.1007/s10664-021-10065-7
de Araújo AMarcacini RHung CHong JBechini ASong E(2021)RE-BERTProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3442006(1321-1327)Online publication date: 22-Mar-2021
https://dl.acm.org/doi/10.1145/3412841.3442006

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