Representing and elaborating quality requirements: The QRA approach

Jie Sun; Pericles Loucopoulos; Liping Zhao

doi:10.1007/978-3-642-41924-9_37

Representing and elaborating quality requirements: The QRA approach

Jie Sun
, Pericles Loucopoulos
, Liping Zhao

MSM Decision Sciences

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

Abstract

This paper presents the quality requirements analysis (QRA) approach to requirements modeling. The QRA approach supports functional and nonfunctional requirements modeling in three dimensions: First, it extends functional goal modeling with non-functional goals. Second, it injects QR (quality requirement) specification into business process models. Third, it provides a set of rules for elaborating and refining QRs alongside functional decomposition of business processes. This paper describes QRA's conceptual foundations and illustrates them through goals and business processes of a real world stock trading system. © Springer-Verlag 2013.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	446-453
Number of pages	7
Volume	8217
ISBN (Print)	9783642419232
DOIs	https://doi.org/10.1007/978-3-642-41924-9_37
Publication status	Published - 2013
Event	32nd International Conference on Conceptual Modeling, ER 2013 - Hong Kong Duration: 1 Jul 2013 → …

Conference

Conference	32nd International Conference on Conceptual Modeling, ER 2013
City	Hong Kong
Period	1/07/13 → …

Keywords

Business process modeling
Goal modeling
Quality requirements (QRs)
Quality requirements analysis

Access to Document

10.1007/978-3-642-41924-9_37

Cite this

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title = "Representing and elaborating quality requirements: The QRA approach",

abstract = "This paper presents the quality requirements analysis (QRA) approach to requirements modeling. The QRA approach supports functional and nonfunctional requirements modeling in three dimensions: First, it extends functional goal modeling with non-functional goals. Second, it injects QR (quality requirement) specification into business process models. Third, it provides a set of rules for elaborating and refining QRs alongside functional decomposition of business processes. This paper describes QRA's conceptual foundations and illustrates them through goals and business processes of a real world stock trading system. {\textcopyright} Springer-Verlag 2013.",

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Sun, J, Loucopoulos, P & Zhao, L 2013, Representing and elaborating quality requirements: The QRA approach. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 8217, Springer Nature, pp. 446-453, 32nd International Conference on Conceptual Modeling, ER 2013, Hong Kong, 1/07/13. https://doi.org/10.1007/978-3-642-41924-9_37

Representing and elaborating quality requirements: The QRA approach. / Sun, Jie; Loucopoulos, Pericles; Zhao, Liping.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 8217 Springer Nature, 2013. p. 446-453.

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

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AB - This paper presents the quality requirements analysis (QRA) approach to requirements modeling. The QRA approach supports functional and nonfunctional requirements modeling in three dimensions: First, it extends functional goal modeling with non-functional goals. Second, it injects QR (quality requirement) specification into business process models. Third, it provides a set of rules for elaborating and refining QRs alongside functional decomposition of business processes. This paper describes QRA's conceptual foundations and illustrates them through goals and business processes of a real world stock trading system. © Springer-Verlag 2013.

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Representing and elaborating quality requirements: The QRA approach

Abstract

Conference

Keywords

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