Building Dynamic Software Product Lines

Hinchey, Michael G.; Park, Sooyong; Schmid, Klaus

doi:10.1109/mc.2012.332

Cited by 97 publications

(61 citation statements)

References 5 publications

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“…Dynamic Software Product Lines [14] generalise the feature model approach as part of the software development process, typically using a prespecified set of rules to trigger feature activation / deactivation at runtime. Our approach does not use a feature model, instead self-organising a pool of components into a working system; additionally we use pure online learning to make decisions, avoiding offline training or pre-crafted rules.…”

Section: Related Workmentioning

confidence: 99%

Losing Control: The Case for Emergent Software Systems Using Autonomous Assembly, Perception, and Learning

Porter

Filho

2016

2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

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Abstract-Architectural self-organisation, in which different configurations of software modules are dynamically assembled based on the current context, has been shown to be an effective way for software to self-optimise over time. Current approaches to this rely heavily on human-led definitions: models, policies and processes to control how self-organisation works. We present the case for a paradigm shift to fully emergent computer software which places the burden of understanding entirely into the hands of software itself. These systems are autonomously assembled at runtime from discovered constituent parts and their internal health and external deployment environment continually monitored. An online, unsupervised learning system then uses runtime adaptation to explore alternative system assemblies and locate optimal solutions. Based on our experience to date, we define the problem space of emergent software, and we present a working case study of an emergent web server. Our results demonstrate two aspects of the problem space for this case study: that different assemblies of behaviour are optimal in different deployment environment conditions; and that these assemblies can be autonomously learned from generalised perception data while the system is online.

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Section: Related Workmentioning

confidence: 99%

Losing Control: The Case for Emergent Software Systems Using Autonomous Assembly, Perception, and Learning

Porter

Filho

2016

2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

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“…In traditional SPLE applications, the application configuration is however generally decided at compile-time, making it ill-suited for cloud environments. Dynamic SPLE [7] can be used to configure and reconfigure software variants at runtime, making it more suited for cloud environments. This makes it possible to characterize runtime variability and reconfigure applications at runtime.…”

Section: Related Workmentioning

confidence: 99%

Allocating resources for customizable multi-tenant applications in clouds using dynamic feature placement

Moens

Dhoedt

Turck

2015

Future Generation Computer Systems

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Multi-tenancy, where multiple end users make use of the same application instance, is often used in clouds to reduce hosting costs. A disadvantage of multi-tenancy is however that it makes it difficult to create customizable applications, as all end users use the same application instance. In this article, we describe an approach for the development and management of highly customizable multi-tenant cloud applications. We apply software product line engineering techniques to cloud applications, and use an approach where applications are composed of multiple interacting components, referred to as application features. Using this approach, multiple features can be shared between different applications. Allocating resources for these feature-based applications is complex, as relations between components must be taken into account, and is referred to as the feature placement problem.In this article, we describe dynamic feature placement algorithms that minimize migrations between subsequent invocations, and evaluate them in dynamic scenarios where applications are added and removed throughout the evaluation scenario. We find that the developed algorithm achieves a low cost, while resulting in few resource migrations. In our evaluations, we observe that adding migration-awareness to the management algorithms reduces the number of instance migrations by more than 77% and reduces the load moved between instances by more than 96% when compared to a static management approach. Despite this reduction in number of migrations, a cost that is on average less than 3% more than the optimal cost is achieved.

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“…However, SPLs just support the development of static products (Hinchey et al, 2012), i.e., SPLs products are not able to adapt their own behavior to the changes in the users needs at runtime (Bencomo et al, 2012). On the other hand, the currently complex systems need to deal with dynamic aspects, such as successive reconfigurations at runtime, after their first deployment (Bosch et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…In this context, emerged Dynamic Software Product Lines (DSPL) (Hallsteinsen et al, 2008). DSPLs extend existing product line engineering approaches by moving their capabilities to runtime (Hinchey et al, 2012). In DSPLs, products can be reconfigured dynamically at runtime after their initial derivation (Bencomo et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

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Building Dynamic Software Product Lines

Cited by 97 publications

References 5 publications

Losing Control: The Case for Emergent Software Systems Using Autonomous Assembly, Perception, and Learning

Losing Control: The Case for Emergent Software Systems Using Autonomous Assembly, Perception, and Learning

Allocating resources for customizable multi-tenant applications in clouds using dynamic feature placement

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

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