Abstract
[Context & motivation] Requirements Engineering (RE) is considered as one of the most critical phases in software development but still many challenges remain open. [Problem] Recommender systems have been applied to solve open RE challenges like requirements and stakeholder discovery; however, the existent proposals focus on specific RE tasks and do not give a general coverage for the RE process. [Principal ideas/results] In this research preview, we present the OpenReq approach to the development of intelligent recommendation and decision technologies that support different phases of RE in software projects. For doing so, the OpenReq approach will be formed by different parts that will be integrated in a process. Specifically, we present in this paper the OpenReq part for personal recommendations for stakeholders, which takes place during requirements elicitation, specification and analysis stages. [Contribution] OpenReq aims to improve and speed up RE processes, especially in large and distributed systems, by incorporating intelligent recommendation and decision technologies.
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Acknowledgments
The work presented in this paper has been conducted within the scope of the Horizon 2020 project OpenReq, which is supported by the European Union under the Grant Nr. 732463.
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Palomares, C., Franch, X., Fucci, D. (2018). Personal Recommendations in Requirements Engineering: The OpenReq Approach. In: Kamsties, E., Horkoff, J., Dalpiaz, F. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2018. Lecture Notes in Computer Science(), vol 10753. Springer, Cham. https://doi.org/10.1007/978-3-319-77243-1_19
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