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Aligning Requirements and Acceptance Tests via Automatically Generated Guidance


Hotomski, Sofija; Ben Charrada, Eya; Glinz, Martin (2017). Aligning Requirements and Acceptance Tests via Automatically Generated Guidance. In: 4th International Workshop on Requirements Engineering and Testing (RET 2017 @ RE’17), Lisbon, 5 September 2017 - 5 September 2017, 339-342.

Abstract

Keeping requirements and acceptance test documents aligned and up-to-date plays an important role in the success of software projects. In practice, these documents are not always aligned with each other, nor with the actual system behaviour. A previous study showed that even when requirements are updated, acceptance tests might stay outdated, which often leads to quality problems and unintended costs. In order to keep the requirements and test documents in a consistent state, we are developing an approach that automatically generates guidance on how to change impacted acceptance tests when changes in requirements occur. In this paper, we briefly present our approach and a prototype tool that implements it. A preliminary evaluation of our approach yielded encouraging results.

Abstract

Keeping requirements and acceptance test documents aligned and up-to-date plays an important role in the success of software projects. In practice, these documents are not always aligned with each other, nor with the actual system behaviour. A previous study showed that even when requirements are updated, acceptance tests might stay outdated, which often leads to quality problems and unintended costs. In order to keep the requirements and test documents in a consistent state, we are developing an approach that automatically generates guidance on how to change impacted acceptance tests when changes in requirements occur. In this paper, we briefly present our approach and a prototype tool that implements it. A preliminary evaluation of our approach yielded encouraging results.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:5 September 2017
Deposited On:27 Mar 2018 08:24
Last Modified:13 Apr 2018 11:48
Publisher:IEEE
OA Status:Green
Publisher DOI:https://doi.org/10.1109/REW.2017.37
Other Identification Number:merlin-id:15363

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