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Titlebook: Requirements Engineering:Foundationfor Software Quality; 27th International W Fabiano Dalpiaz,Paola Spoletini Conference proceedings 2021 S

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Is Requirements Similarity a Good Proxy for Software Similarity? An Empirical Investigation in Indus similarity computed with the traditional . approach has the highest correlation with the actual software similarity in the considered context. Furthermore, results indicate a . correlation with Spearman’s rank correlation coefficient of more than 0.5. . Our work is among the first ones to explore t
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Automatically Classifying Non-functional Requirements with Feature Extraction and Supervised Machineth BoW, all achieve precision and recall values greater than 0.85, and process execution time of less than 0.1 s. Comparison with related work is favourable as is preliminary validation using an industry dataset.
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Trustworthy AI Services in the Public Sector: What Are Citizens Saying About It? . For practitioners, the paper provides a list of questions that trustworthy public AI services should answer. For the research community, it illuminates the transparency requirement of AI systems from the perspective of citizens.
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Requirements Engineering in the Planning Phase of a Software Ecosystemnalities of the MVP to a value proposition, target customer groups and customer paths of digital services and further to the vision and objectives of the software ecosystem. . The paper provides knowledge on how actors can start building a software ecosystem together from a business perspective. In
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Iterative and Scenario-Based Requirements Specification in a System of Systems Contexter to detect contradictions in the requirement specifications at an early stage. [Contribution] In this paper, we describe an extension for the scenario-modeling language for Kotlin (SMLK) to continuously and formally model requirements on SoS and CS level. To support the iterative requirements spec
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