Comprehensive variability analysis of requirements and testing artifacts

Michal Steinberger; Iris Reinhartz-Berger

doi:10.1007/978-3-319-39696-5_28

Comprehensive variability analysis of requirements and testing artifacts

Michal Steinberger, Iris Reinhartz-Berger

Department of Information Systems

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

Abstract

Analyzing variability of software artifacts is important for increasing reuse and improving development of similar software products, as is the case in the area of Software Product Line Engineering (SPLE). Current approaches suggest analyzing the variability of certain types of artifacts, most notably requirements. However, as the specification of requirements may be incomplete or generalized, capturing the differences between the intended software behaviors may be limited, neglecting essential parts, such as behavior preconditions. Thus, we suggest in this paper utilizing testing artifacts in order to comprehensively analyze the variability of the corresponding requirements. The suggested approach, named SOVA R-TC, which is based on Bunge’s ontological model, uses the information stored and managed in Application Lifecycle Management (ALM) environments. It extracts the behavior transformations from the requirements and the test cases and presents them in the form of initial states (preconditions) and final states (post-conditions or expected results). It further compares the behavior transformations of different software products and proposes how to analyze their variability based on cross-phase artifacts.

Original language	English
Title of host publication	Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings
Editors	Selmin Nurcan, Pnina Soffer, Marko Bajec, Johann Eder
Publisher	Springer Verlag
Pages	461-475
Number of pages	15
ISBN (Print)	9783319396958
DOIs	https://doi.org/10.1007/978-3-319-39696-5_28
State	Published - 2016
Event	28th International Conference on Advanced Information Systems Engineering, CAiSE 2016 - Ljubljana, Slovenia Duration: 13 Jun 2016 → 17 Jun 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9694
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th International Conference on Advanced Information Systems Engineering, CAiSE 2016
Country/Territory	Slovenia
City	Ljubljana
Period	13/06/16 → 17/06/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Application lifecycle management
Ontology
Software product lines
Software reuse
Variability analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-39696-5_28

Cite this

Steinberger, M., & Reinhartz-Berger, I. (2016). Comprehensive variability analysis of requirements and testing artifacts. In S. Nurcan, P. Soffer, M. Bajec, & J. Eder (Eds.), Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings (pp. 461-475). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9694). Springer Verlag. https://doi.org/10.1007/978-3-319-39696-5_28

Steinberger, Michal ; Reinhartz-Berger, Iris. / Comprehensive variability analysis of requirements and testing artifacts. Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings. editor / Selmin Nurcan ; Pnina Soffer ; Marko Bajec ; Johann Eder. Springer Verlag, 2016. pp. 461-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Comprehensive variability analysis of requirements and testing artifacts",

abstract = "Analyzing variability of software artifacts is important for increasing reuse and improving development of similar software products, as is the case in the area of Software Product Line Engineering (SPLE). Current approaches suggest analyzing the variability of certain types of artifacts, most notably requirements. However, as the specification of requirements may be incomplete or generalized, capturing the differences between the intended software behaviors may be limited, neglecting essential parts, such as behavior preconditions. Thus, we suggest in this paper utilizing testing artifacts in order to comprehensively analyze the variability of the corresponding requirements. The suggested approach, named SOVA R-TC, which is based on Bunge{\textquoteright}s ontological model, uses the information stored and managed in Application Lifecycle Management (ALM) environments. It extracts the behavior transformations from the requirements and the test cases and presents them in the form of initial states (preconditions) and final states (post-conditions or expected results). It further compares the behavior transformations of different software products and proposes how to analyze their variability based on cross-phase artifacts.",

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doi = "10.1007/978-3-319-39696-5_28",

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Steinberger, M & Reinhartz-Berger, I 2016, Comprehensive variability analysis of requirements and testing artifacts. in S Nurcan, P Soffer, M Bajec & J Eder (eds), Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9694, Springer Verlag, pp. 461-475, 28th International Conference on Advanced Information Systems Engineering, CAiSE 2016, Ljubljana, Slovenia, 13/06/16. https://doi.org/10.1007/978-3-319-39696-5_28

Comprehensive variability analysis of requirements and testing artifacts. / Steinberger, Michal; Reinhartz-Berger, Iris.
Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings. ed. / Selmin Nurcan; Pnina Soffer; Marko Bajec; Johann Eder. Springer Verlag, 2016. p. 461-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9694).

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

TY - GEN

T1 - Comprehensive variability analysis of requirements and testing artifacts

AU - Steinberger, Michal

AU - Reinhartz-Berger, Iris

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Analyzing variability of software artifacts is important for increasing reuse and improving development of similar software products, as is the case in the area of Software Product Line Engineering (SPLE). Current approaches suggest analyzing the variability of certain types of artifacts, most notably requirements. However, as the specification of requirements may be incomplete or generalized, capturing the differences between the intended software behaviors may be limited, neglecting essential parts, such as behavior preconditions. Thus, we suggest in this paper utilizing testing artifacts in order to comprehensively analyze the variability of the corresponding requirements. The suggested approach, named SOVA R-TC, which is based on Bunge’s ontological model, uses the information stored and managed in Application Lifecycle Management (ALM) environments. It extracts the behavior transformations from the requirements and the test cases and presents them in the form of initial states (preconditions) and final states (post-conditions or expected results). It further compares the behavior transformations of different software products and proposes how to analyze their variability based on cross-phase artifacts.

AB - Analyzing variability of software artifacts is important for increasing reuse and improving development of similar software products, as is the case in the area of Software Product Line Engineering (SPLE). Current approaches suggest analyzing the variability of certain types of artifacts, most notably requirements. However, as the specification of requirements may be incomplete or generalized, capturing the differences between the intended software behaviors may be limited, neglecting essential parts, such as behavior preconditions. Thus, we suggest in this paper utilizing testing artifacts in order to comprehensively analyze the variability of the corresponding requirements. The suggested approach, named SOVA R-TC, which is based on Bunge’s ontological model, uses the information stored and managed in Application Lifecycle Management (ALM) environments. It extracts the behavior transformations from the requirements and the test cases and presents them in the form of initial states (preconditions) and final states (post-conditions or expected results). It further compares the behavior transformations of different software products and proposes how to analyze their variability based on cross-phase artifacts.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings

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A2 - Soffer, Pnina

A2 - Bajec, Marko

A2 - Eder, Johann

PB - Springer Verlag

T2 - 28th International Conference on Advanced Information Systems Engineering, CAiSE 2016

Y2 - 13 June 2016 through 17 June 2016

ER -

Steinberger M, Reinhartz-Berger I. Comprehensive variability analysis of requirements and testing artifacts. In Nurcan S, Soffer P, Bajec M, Eder J, editors, Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Proceedings. Springer Verlag. 2016. p. 461-475. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39696-5_28

Comprehensive variability analysis of requirements and testing artifacts

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this