A tool for analyzing variability based on functional requirements and testing artifacts

Michal Steinberger; Iris Reinhartz-Berger; Amir Tomer

doi:10.1007/978-3-319-47717-6_21

A tool for analyzing variability based on functional requirements and testing artifacts

Michal Steinberger, Iris Reinhartz-Berger, Amir Tomer

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Analyzing differences among software artifacts is beneficial in a variety of scenarios, such as feasibility study, configuration management, and software product line engineering. Currently variability analysis is mainly done based on artifacts developed in a certain development phase (most notably, requirements engineering). We will demonstrate a tool that utilizes both functional requirements and test cases in order to analyze variability more comprehensively. The tool implements the ideas of SOVA R-TC method.

Original language	English
Title of host publication	Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings
Editors	Sebastian Link, Juan C. Trujillo
Publisher	Springer Verlag
Pages	243-250
Number of pages	8
ISBN (Print)	9783319477169
DOIs	https://doi.org/10.1007/978-3-319-47717-6_21
State	Published - 2016
Event	35th International Conference on Conceptual Modelling, ER 2016 held in conjunction with Workshops on AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME and WM2SP, 2016 - Gifu, Japan Duration: 14 Nov 2016 → 17 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9975 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	35th International Conference on Conceptual Modelling, ER 2016 held in conjunction with Workshops on AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME and WM2SP, 2016
Country/Territory	Japan
City	Gifu
Period	14/11/16 → 17/11/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

Feature diagrams
Natural language processing
Ontology
Software product line engineering
Variability analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-47717-6_21

Cite this

Steinberger, M., Reinhartz-Berger, I., & Tomer, A. (2016). A tool for analyzing variability based on functional requirements and testing artifacts. In S. Link, & J. C. Trujillo (Eds.), Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings (pp. 243-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9975 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-47717-6_21

Steinberger, Michal ; Reinhartz-Berger, Iris ; Tomer, Amir. / A tool for analyzing variability based on functional requirements and testing artifacts. Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings. editor / Sebastian Link ; Juan C. Trujillo. Springer Verlag, 2016. pp. 243-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Analyzing differences among software artifacts is beneficial in a variety of scenarios, such as feasibility study, configuration management, and software product line engineering. Currently variability analysis is mainly done based on artifacts developed in a certain development phase (most notably, requirements engineering). We will demonstrate a tool that utilizes both functional requirements and test cases in order to analyze variability more comprehensively. The tool implements the ideas of SOVA R-TC method.",

keywords = "Feature diagrams, Natural language processing, Ontology, Software product line engineering, Variability analysis",

author = "Michal Steinberger and Iris Reinhartz-Berger and Amir Tomer",

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Steinberger, M, Reinhartz-Berger, I & Tomer, A 2016, A tool for analyzing variability based on functional requirements and testing artifacts. in S Link & JC Trujillo (eds), Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9975 LNCS, Springer Verlag, pp. 243-250, 35th International Conference on Conceptual Modelling, ER 2016 held in conjunction with Workshops on AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME and WM2SP, 2016, Gifu, Japan, 14/11/16. https://doi.org/10.1007/978-3-319-47717-6_21

A tool for analyzing variability based on functional requirements and testing artifacts. / Steinberger, Michal; Reinhartz-Berger, Iris; Tomer, Amir.
Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings. ed. / Sebastian Link; Juan C. Trujillo. Springer Verlag, 2016. p. 243-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9975 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Analyzing differences among software artifacts is beneficial in a variety of scenarios, such as feasibility study, configuration management, and software product line engineering. Currently variability analysis is mainly done based on artifacts developed in a certain development phase (most notably, requirements engineering). We will demonstrate a tool that utilizes both functional requirements and test cases in order to analyze variability more comprehensively. The tool implements the ideas of SOVA R-TC method.

KW - Feature diagrams

KW - Natural language processing

KW - Ontology

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Steinberger M, Reinhartz-Berger I, Tomer A. A tool for analyzing variability based on functional requirements and testing artifacts. In Link S, Trujillo JC, editors, Advances in Conceptual Modeling - ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Proceedings. Springer Verlag. 2016. p. 243-250. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-47717-6_21

A tool for analyzing variability based on functional requirements and testing artifacts

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this