research-article

Ambiguity defects as variation points in requirements

Authors:

Alessandro Fantechi,

Stefania Gnesi,

Laura SeminiAuthors Info & Claims

VaMoS '17: Proceedings of the 11th International Workshop on Variability Modelling of Software-Intensive Systems

Pages 13 - 19

https://doi.org/10.1145/3023956.3023964

Published: 01 February 2017 Publication History

Abstract

Software requirements are generally expressed in Natural Language. NL is intrinsically ambiguous, and this is seen as a possible source of problems in the later interpretation of requirements. However, ambiguity or under-specification at requirements level can in some cases give an indication of possible variability, either in design choice, in implementation choices or configurability. Taking into account the results of previous analyses conducted on different requirements documents with NL analysis tools, we attempt a first classification of the forms of ambiguity that indicate variation points, and we indicate an approach to achieve automated support to variability elicitation.

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Cited By

Fantechi AGnesi SLivi SSemini LMousavi MSchobbens P(2021)A spaCy-based tool for extracting variability from NL requirementsProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B10.1145/3461002.3473074(32-35)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3461002.3473074
Fantechi AGnesi SSemini L(2019)Applying the QuARS Tool to Detect VariabilityProceedings of the 23rd International Systems and Software Product Line Conference - Volume B10.1145/3307630.3342388(29-32)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3307630.3342388
Arganese EFantechi AGnesi SSemini L(2019)Nuts and Bolts of Extracting Variability Models from Natural Language Requirements DocumentsIntegrating Research and Practice in Software Engineering10.1007/978-3-030-26574-8_10(125-143)Online publication date: 3-Aug-2019
https://doi.org/10.1007/978-3-030-26574-8_10
Show More Cited By

Index Terms

Ambiguity defects as variation points in requirements
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis
    2. Software development techniques
      1. Reusability
        Software product lines

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cover image ACM Other conferences

VaMoS '17: Proceedings of the 11th International Workshop on Variability Modelling of Software-Intensive Systems

February 2017

114 pages

ISBN:9781450348119

DOI:10.1145/3023956

Editors:
Maurice H. ter Beek,
Norbert Siegmund,
General Chair:
Ina Schaefer
Technische Universität Braunschweig, Germany

Copyright © 2017 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 February 2017

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VaMoS '17

VaMoS '17: Eleventh International Workshop on Variability Modelling of Software-intensive Systems

February 1 - 3, 2017

Eindhoven, Netherlands

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Overall Acceptance Rate 66 of 147 submissions, 45%

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Cited By

Fantechi AGnesi SLivi SSemini LMousavi MSchobbens P(2021)A spaCy-based tool for extracting variability from NL requirementsProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B10.1145/3461002.3473074(32-35)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3461002.3473074
Fantechi AGnesi SSemini L(2019)Applying the QuARS Tool to Detect VariabilityProceedings of the 23rd International Systems and Software Product Line Conference - Volume B10.1145/3307630.3342388(29-32)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3307630.3342388
Arganese EFantechi AGnesi SSemini L(2019)Nuts and Bolts of Extracting Variability Models from Natural Language Requirements DocumentsIntegrating Research and Practice in Software Engineering10.1007/978-3-030-26574-8_10(125-143)Online publication date: 3-Aug-2019
https://doi.org/10.1007/978-3-030-26574-8_10
Fantechi AFerrari AGnesi SSemini L(2018)Hacking an Ambiguity Detection Tool to Extract Variation PointsProceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems10.1145/3168365.3168381(43-50)Online publication date: 7-Feb-2018
https://dl.acm.org/doi/10.1145/3168365.3168381
Fantechi AFerrari AGnesi SSemini L(2018)Requirement Engineering of Software Product Lines: Extracting Variability Using NLP2018 IEEE 26th International Requirements Engineering Conference (RE)10.1109/RE.2018.00053(418-423)Online publication date: Aug-2018
https://doi.org/10.1109/RE.2018.00053

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