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Titlebook: Requirements Engineering: Foundation for Software Quality; 29th International W Alessio Ferrari,Birgit Penzenstadler Conference proceedings

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Bringing Stakeholders Along for the Ride: Towards Supporting , Decisions in Software Evolutiontorical interests that motivate their goals. This information can guide the resolution of requirements conflicts, support the evolution of requirements when changes occur (e.g., environmental constraints), and inform decisions in software design. [Problem] Unfortunately, this information is rarely e
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Scope Determined (D) and Scope Determining (G) Requirements: A New Categorization of Functional Requcation before any of the CBS’s software (SW) is written. .: A common complaint is that (1) new requirements . stop coming; so upfront RE goes on forever with an ever growing scope. However, data show that (2) the cost to modify written SW to include a new requirement is at least 10 times the cost of
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Requirement or Not, That is the Question: A Case from the Railway Industrybidding process and help estimate the risk associated with the project. . Manual identification of requirements in large documents is a resource-intensive activity that is prone to human error and limits scalability. This study compares various state-of-the-art approaches for requirements identifica
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Summarization of Elicitation Conversations to Locate Requirements-Relevant Informationhe creation of requirements specifications. . While these conversations contain a wealth of knowledge, requirements engineers use them mainly through note-taking during the conversation and by recalling the information from their memory. There is potential for supporting practitioners by retrieving
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Exploring Requirements for Software that Learns: A Research Preview-critical. However, as technology and aspirations advance, there is an increased desire and need for Machine Learning (ML) software in safety- and mission-critical systems, e.g., driverless cars or autonomous space robotics. . In these domains, reliability is crucial and systems have to undergo much
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Requirements Engineering for Automotive Perception Systems: An Interview Studyorporate perceptions systems that use machine learning (ML) to analyze the vehicle environment. . We explore new or differing requirements engineering (RE) topics and challenges that practitioners experience in this domain. . We have conducted an interview study with 19 participants across five comp
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