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research-article

Mining commonalities and variabilities from natural language documents

Authors:

Alessio Ferrari,

Giorgio O. Spagnolo,

Felice Dell'OrlettaAuthors Info & Claims

SPLC '13: Proceedings of the 17th International Software Product Line Conference

Pages 116 - 120

https://doi.org/10.1145/2491627.2491634

Published: 26 August 2013 Publication History

Abstract

A company who wishes to enter an established marked with a new, competitive product is required to analyse the product solutions of the competitors. Identifying and comparing the features provided by the other vendors might greatly help during the market analysis. However, mining common and variant features of from the publicly available documents of the competitors is a time consuming and error-prone task. In this paper, we suggest to employ a natural language processing approach based on contrastive analysis to identify commonalities and variabilities from the brochures of a group of vendors. We present a first step towards a practical application of the approach, in the the context of the market of Communications-Based Train Control (CBTC) systems.

References

[1]

M. Acher, A. Cleve, G. Perrouin, P. Heymans, C. Vanbeneden, P. Collet, and P. Lahire. On extracting feature models from product descriptions. In Proc. of VaMoS '12, pages 45--54, 2012.

Digital Library

[2]

V. Alves, C. Schwanninger, L. Barbosa, A. Rashid, P. Sawyer, P. Rayson, C. Pohl, and A. Rummler. An exploratory study of information retrieval techniques in domain analysis. In Proc. of SPLC '08, pages 67--76, 2008.

Digital Library

[3]

F. Bonin, F. Dell'Orletta, S. Montemagni, and G. Venturi. A contrastive approach to multi-word extraction from domain-specific corpora. In Proc. of LREC'10, pages 19--21, 2010.

[4]

K. Chen, W. Zhang, H. Zhao, and H. Mei. An approach to constructing feature models based on requirements clustering. In Proc. of RE'05, pages 31--40, 2005.

Digital Library

[5]

F. Dell'Orletta. Ensemble system for part-of-speech tagging. In Proc. of Evalita'09, Evaluation of NLP and Speech Tools for Italian, 2009.

[6]

H. Dumitru, M. Gibiec, N. Hariri, J. Cleland-Huang, B. Mobasher, C. Castro-Herrera, and M. Mirakhorli. On-demand feature recommendations derived from mining public product descriptions. In Proc. of ICSE'11, pages 181--190, 2011.

Digital Library

[7]

A. Ferrari, G. O. Spagnolo, G. Martelli, and S. Menabeni. Product Line Engineering Applied to CBTC Systems Development. In Proc. of ISOLA'12, volume 7610 of LNCS, pages 216--230, 2012.

Digital Library

[8]

W. Frakes, R. Prieto-Diaz, and C. Fox. Dare: Domain analysis and reuse environment. Ann. Softw. Eng., 5:125--141, Jan. 1998.

Digital Library

[9]

IEEE. Standard for CBTC Performance and Functional Requirements. IEEE Std 1474.1, 2004.

[10]

I. John. Capturing product line information from legacy user documentation, pages 127--159. Springer, 2006.

[11]

K. C. Kang, S. G. Cohen, J. A. Hess, W. E. Novak, and A. S. Peterson. Feature-Oriented Domain Analysis (FODA) Feasibility Study. Technical report, Carnegie-Mellon University SE Institute, 1990.

[12]

N. Niu and S. M. Easterbrook. Extracting and modeling product line functional requirements. In Proc. of RE'08, pages 155--164, 2008.

Digital Library

[13]

N. Niu and S. M. Easterbrook. On-demand cluster analysis for product line functional requirements. In Proc. of SPLC'08, pages 87--96, 2008.

Digital Library

[14]

S. She, R. Lotufo, T. Berger, A. Wasowski, and K. Czarnecki. Reverse engineering feature models. In Proc. of ICSE '11, ICSE '11, pages 461--470, 2011.

Digital Library

[15]

N. Weston, R. Chitchyan, and A. Rashid. A framework for constructing semantically composable feature models from natural language requirements. In Proc. of SPLC '09, pages 211--220, 2009.

Digital Library

Cited By

Nakanishi TOtotake HTanabe TYoshimura K(2023)Morfawk.ja: A Japanese Token Level Pattern Matching and Processing Language with Dependency AnalysisProceedings of the 2023 12th International Conference on Software and Computer Applications10.1145/3587828.3587878(335-341)Online publication date: 23-Feb-2023
https://dl.acm.org/doi/10.1145/3587828.3587878
Ferrari ASpoletini P(2023)Strategies, Benefits and Challenges of App Store-inspired Requirements Elicitation2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)10.1109/ICSE48619.2023.00114(1290-1302)Online publication date: May-2023
https://doi.org/10.1109/ICSE48619.2023.00114
Zhong SScarinci ACicirello A(2023)Natural Language Processing for systems engineeringKnowledge-Based Systems10.1016/j.knosys.2022.110071259:COnline publication date: 10-Jan-2023
https://dl.acm.org/doi/10.1016/j.knosys.2022.110071
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Index Terms

Mining commonalities and variabilities from natural language documents
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis

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Information

Published In

cover image ACM Other conferences

SPLC '13: Proceedings of the 17th International Software Product Line Conference

August 2013

286 pages

ISBN:9781450319683

DOI:10.1145/2491627

General Chair:
Tomoji Kishi,
Program Chairs:
Stan Jarzabek,
Stefania Gnesi

Copyright © 2013 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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IPSJ: Information Processing Society of Japan

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 August 2013

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SPLC 2013

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IPSJ

SPLC 2013: 17th International Software Product Line Conference

August 26 - 30, 2013

Tokyo, Japan

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Citations

Cited By

Nakanishi TOtotake HTanabe TYoshimura K(2023)Morfawk.ja: A Japanese Token Level Pattern Matching and Processing Language with Dependency AnalysisProceedings of the 2023 12th International Conference on Software and Computer Applications10.1145/3587828.3587878(335-341)Online publication date: 23-Feb-2023
https://dl.acm.org/doi/10.1145/3587828.3587878
Ferrari ASpoletini P(2023)Strategies, Benefits and Challenges of App Store-inspired Requirements Elicitation2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)10.1109/ICSE48619.2023.00114(1290-1302)Online publication date: May-2023
https://doi.org/10.1109/ICSE48619.2023.00114
Zhong SScarinci ACicirello A(2023)Natural Language Processing for systems engineeringKnowledge-Based Systems10.1016/j.knosys.2022.110071259:COnline publication date: 10-Jan-2023
https://dl.acm.org/doi/10.1016/j.knosys.2022.110071
Lazreg SBohlachov VRana LHein ACordy M(2022)Variability-Aware Design of Space Systems: Variability Modelling, Configuration Workflow and Research DirectionsProceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3510466.3510472(1-10)Online publication date: 23-Feb-2022
https://dl.acm.org/doi/10.1145/3510466.3510472
Ferrari ASpoletini PDebnath S(2022)How do requirements evolve during elicitation? An empirical study combining interviews and app store analysisRequirements Engineering10.1007/s00766-022-00383-727:4(489-519)Online publication date: 23-Aug-2022
https://doi.org/10.1007/s00766-022-00383-7
Abbas MFerrari AShatnawi AEnoiu ESaadatmand MSundmark D(2022)On the relationship between similar requirements and similar softwareRequirements Engineering10.1007/s00766-021-00370-4Online publication date: 18-Jan-2022
https://doi.org/10.1007/s00766-021-00370-4
Schulze SLi Y(2022)Feature and Variability Extraction from Natural Language RequirementsHandbook of Re-Engineering Software Intensive Systems into Software Product Lines10.1007/978-3-031-11686-5_2(31-52)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-11686-5_2
Marchezan LRodrigues ECarbonell JBernardino MBasso FAssunção W(2022)PAxSPL: A Framework for Aiding SPL Reengineering PlanningHandbook of Re-Engineering Software Intensive Systems into Software Product Lines10.1007/978-3-031-11686-5_13(319-353)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-11686-5_13
Zhao LAlhoshan WFerrari ALetsholo KAjagbe MChioasca EBatista-Navarro R(2021)Natural Language Processing for Requirements EngineeringACM Computing Surveys10.1145/344468954:3(1-41)Online publication date: 17-Apr-2021
https://dl.acm.org/doi/10.1145/3444689
Sree-Kumar APlanas EClarisó R(2021)Validating Feature Models With Respect to Textual Product Line SpecificationsProceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3442391.3442407(1-10)Online publication date: 9-Feb-2021
https://dl.acm.org/doi/10.1145/3442391.3442407
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