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Software Engineering Processes for Self-Adaptive Systems

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 7475)

Abstract

In this paper, we discuss how for self-adaptive systems some activities that traditionally occur at development-time are moved to run-time. Responsibilities for these activities shift from software engineers to the system itself, causing the traditional boundary between development-time and run-time to blur. As a consequence, we argue how the traditional software engineering process needs to be reconceptualized to distinguish both development-time and run-time activities, and to support designers in taking decisions on how to properly engineer such systems.

Furthermore, we identify a number of challenges related to this required reconceptualization, and we propose initial ideas based on process modeling. We use the Software and Systems Process Engineering Meta-Model (SPEM) to specify which activities are meant to be performed off-line and on-line, and also the dependencies between them. The proposed models should capture information about the costs and benefits of shifting activities to run-time, since such models should support software engineers in their decisions when they are engineering self-adaptive systems.

Keywords

  • Software Engineer
  • IEEE Computer Society
  • Software Process
  • Work Product
  • Adaptation Logic

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Andersson, J. et al. (2013). Software Engineering Processes for Self-Adaptive Systems. In: de Lemos, R., Giese, H., Müller, H.A., Shaw, M. (eds) Software Engineering for Self-Adaptive Systems II. Lecture Notes in Computer Science, vol 7475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35813-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-35813-5_3

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