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Harnessing Variability in Product-lines of Self-adaptive Software Systems
Linnaeus University, Faculty of Technology, Department of Computer Science. (Software Technology)
Linnaeus University, Faculty of Technology, Department of Computer Science. (Software Technology)ORCID iD: 0000-0001-5471-551X
2015 (English)In: Proceedings of the 19th International Conference on Software Product Line: SPLC '15, ACM Press, 2015, p. 191-200Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

This work studies systematic reuse in the context of self-adaptive software systems. In our work, we realized that managing variability for such platforms is different compared to traditional platforms, primarily due to the run-time variability and system uncertainties. Motivated by the fact that recent trends show that self-adaptation will be used more often in future system generation and that software reuse state-of-practice or research do not provide sufficient support, we have investigated the problems and possibly resolutions in this context. We have analyzed variability for these systems, using a systematic reuse prism, and identified a research gap in variability management. The analysis divides variability handling into four activities: (1) identify variability, (2) constrain variability, (3) implement variability, and (4) manage variability. Based on the findings we envision a reuse framework for the specific domain and present an example framework that addresses some of the identified challenges. We argue that it provides basic support for engineering self-adaptive software systems with systematic reuse. We discuss some important avenues of research for achieving the vision.

Place, publisher, year, edition, pages
ACM Press, 2015. p. 191-200
Keywords [en]
self-adaptive software systems, software reuse, variability analysis
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-51780DOI: 10.1145/2791060.2791089Scopus ID: 2-s2.0-84982794653ISBN: 978-1-4503-3613-0 (print)OAI: oai:DiVA.org:lnu-51780DiVA, id: diva2:916013
Conference
19th International Conference on Software Product Line, SPLC ’15
Funder
VINNOVAAvailable from: 2016-03-31 Created: 2016-03-31 Last updated: 2018-05-21Bibliographically approved
In thesis
1. Designing Self-Adaptive Software Systems with Reuse
Open this publication in new window or tab >>Designing Self-Adaptive Software Systems with Reuse
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Modern software systems are increasingly more connected, pervasive, and dynamic, as such, they are subject to more runtime variations than legacy systems. Runtime variations affect system properties, such as performance and availability. The variations are difficult to anticipate and thus mitigate in the system design.

Self-adaptive software systems were proposed as a solution to monitor and adapt systems in response to runtime variations. Research has established a vast body of knowledge on engineering self-adaptive systems. However, there is a lack of systematic process support that leverages such engineering knowledge and provides for systematic reuse for self-adaptive systems development. 

This thesis proposes the Autonomic Software Product Lines (ASPL), which is a strategy for developing self-adaptive software systems with systematic reuse. The strategy exploits the separation of a managed and a managing subsystem and describes three steps that transform and integrate a domain-independent managing system platform into a domain-specific software product line for self-adaptive software systems.

Applying the ASPL strategy is however not straightforward as it involves challenges related to variability and uncertainty. We analyzed variability and uncertainty to understand their causes and effects. Based on the results, we developed the Autonomic Software Product Lines engineering (ASPLe) methodology, which provides process support for the ASPL strategy. The ASPLe has three processes, 1) ASPL Domain Engineering, 2) Specialization and 3) Integration. Each process maps to one of the steps in the ASPL strategy and defines roles, work-products, activities, and workflows for requirements, design, implementation, and testing. The focus of this thesis is on requirements and design.

We validate the ASPLe through demonstration and evaluation. We developed three demonstrator product lines using the ASPLe. We also conducted an extensive case study to evaluate key design activities in the ASPLe with experiments, questionnaires, and interviews. The results show a statistically significant increase in quality and reuse levels for self-adaptive software systems designed using the ASPLe compared to current engineering practices.

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2018. p. 56
Series
Linnaeus University Dissertations ; 318/2018
Keywords
Variability, Uncertainty, Self-Adaptation, Software Reuse, Software Design, Methodology, Domain Engineering.
National Category
Software Engineering Computer Sciences Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer and Information Sciences Computer Science; Computer Science, Software Technology
Identifiers
urn:nbn:se:lnu:diva-74443 (URN)978-91-88761-51-4 (ISBN)978-91-88761-52-1 (ISBN)
Public defence
2018-04-19, 13:15 (English)
Supervisors
Available from: 2018-05-22 Created: 2018-05-21 Last updated: 2018-05-22Bibliographically approved

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