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Providing Software Product Line Knowledge to Requirements Engineers – A Template for Elicitation Instructions

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Requirements Engineering: Foundation for Software Quality (REFSQ 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7195))

Abstract

[Context & Motivation] Developing new software systems based on a software product line (SPL) in so-called application engineering (AE) projects is still a time-consuming and expensive task. Especially when a large number of customer-specific requirements exists, there is still no systematic support for efficiently aligning these non-anticipated requirements with SPL characteristics early on. [Question/problem] In order to improve this process significantly, sound knowledge about an SPL must be available when guiding the requirements elicitation during AE. Thus, an appropriate reflection of SPL characteristics in process-supporting artifacts is indispensable for actually supporting a requirements engineer in this task. [Principal ideas/results] In this paper, a validated template for elicitation instructions that aims at providing a requirements engineer with knowledge about an underlying SPL in an appropriate manner is presented. This template consists of predefined text blocks and algorithms that explain how SPL-relevant product and process knowledge can be systematically reflected into capability-aware elicitation instructions. [Contribution] By using such elicitation instructions, requirements engineers are enabled to elicit requirements in an AE project more effectively.

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Adam, S. (2012). Providing Software Product Line Knowledge to Requirements Engineers – A Template for Elicitation Instructions. In: Regnell, B., Damian, D. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2012. Lecture Notes in Computer Science, vol 7195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28714-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-28714-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28713-8

  • Online ISBN: 978-3-642-28714-5

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