Reference : Bridging the Gap between Requirements Modeling and Behavior-driven Development
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/39710
Bridging the Gap between Requirements Modeling and Behavior-driven Development
English
Alferez, Mauricio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Pastore, Fabrizio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sabetzadeh, Mehrdad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Riccardi, Jean-Richard [Clearstream Services SA]
Sep-2019
Proceedings of 22nd IEEE / ACM International Conference on Model Driven Engineering Languages and Systems (MODELS)
Yes
International
22nd IEEE / ACM International Conference on Model Driven Engineering Languages and Systems (MODELS)
15-09-2019 to 20-09-2019
Munich
Germany
[en] software testing ; BDD ; Modeling ; requirements engineering ; text generation ; Gherkin ; FinTech
[en] Acceptance criteria (AC) are implementation agnostic conditions that a system must meet to be consistent with its requirements and be accepted by its stakeholders. Each acceptance criterion is typically expressed as a natural-language statement with a clear pass or fail outcome. Writing AC is a tedious and error-prone activity, especially when the requirements specifications evolve and there are different analysts and testing teams involved. Analysts and testers must iterate multiple times to ensure that AC are understandable and feasible, and accurately address the most important requirements and workflows of the system being developed.
In many cases, analysts express requirements through models, along with natural language, typically in some variant of the UML. AC must then be derived by developers and testers from such models. In this paper, we bridge the gap between requirements models and AC by providing a UML-based modeling methodology and an automated solution to generate AC. We target AC in the form of Behavioral Specifications in the context of Behavioral-Driven Development (BDD), a widely used agile practice in many application domains. More specially we target the well-known Gherkin language to express AC, which then can be used to generate executable test cases.
We evaluate our modeling methodology and AC generation solution through an industrial case study in the financial domain. Our results suggest that (1) our methodology is feasible to apply in practice, and (2) the additional modeling effort required by our methodology is outweighed by the benefits the methodology brings in terms of automated and systematic AC generation and improved model precision.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab)
Clearstream Services SA ; Fonds National de la Recherche - FnR ; European Research Council - ERC
Improved Model-based Requirements for Financial Applications (IMoReF)
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/39710
10.1109/MODELS.2019.00008
H2020 ; 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems
FnR ; FNR13234469 > Lionel Briand > IMoReF > Improved Model-based Requirements for Financial Applications > 01/01/2019 > 31/12/2021 > 2018

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