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Software Engineering Processes for Self-Adaptive Systems

Andersson, Jesper and Baresi, Luciano and Bencomo, Nelly and de Lemos, Rogerio and Gorla, Alessandra and Inverardi, Paola and Vogel, Thomas (2013) Software Engineering Processes for Self-Adaptive Systems. In: Software Engineering for Self-Adaptive Systems II International Seminar. Lecture Notes in Computer Science . Springer, pp. 51-75. ISBN 978-3-642-35812-8. E-ISBN 978-3-642-35813-5. (doi:10.1007/978-3-642-35813-5_3) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42991)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1007/978-3-642-35813-5_3

Abstract

n 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.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-642-35813-5_3
Uncontrolled keywords: Software Engineer, IEEE Computer Society, Software Process, Work Product, Adaptation Logic
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 17 Sep 2014 11:44 UTC
Last Modified: 09 May 2021 22:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42991 (The current URI for this page, for reference purposes)

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