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Search: db:Swepub > Linnaeus University > (2010-2013)

  • Result 1-10 of 7888
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  • Abbas, Nadeem, et al. (author)
  • Architectural reasoning for dynamic software product lines
  • 2013
  • In: Proceedings of the 17th International Software Product Line Conference co-located workshops. - New York, NY, USA : ACM Press. - 9781450323253 ; , s. 117-124
  • Conference paper (peer-reviewed)abstract
    • Software quality is critical in today's software systems. A challenge is the trade-off situation architects face in the design process. Designers often have two or more alternatives, which must be compared and put into context before a decision is made. The challenge becomes even more complex for dynamic software product lines, where domain designers have to take runtime variations into consideration as well. To address the problem we propose extensions to an architectural reasoning framework with constructs/artifacts to define and model a domain's scope and dynamic variability. The extended reasoning framework encapsulates knowledge to understand and reason about domain quality behavior and self-adaptation as a primary variability mechanism. The framework is demonstrated for a self-configuration property, self-upgradability on an educational product-line.
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4.
  • Abbas, Nadeem, et al. (author)
  • Autonomic Software Product Lines (ASPL)
  • 2010
  • In: ECSA '10 Proceedings of the Fourth European Conference on Software Architecture. - New York, NY, USA : ACM Press. - 9781450301794 ; , s. 324-331
  • Conference paper (peer-reviewed)abstract
    • We describe ongoing work on a variability mechanism for Autonomic Software Product Lines (ASPL). The autonomic software product lines have self-management characteristics that make product line instances more resilient to context changes and some aspects of product line evolution. Instances sense the context, selects and bind the best component variants to variation-points at run-time. The variability mechanism we describe is composed of a profile guided dispatch based on off-line and on-line training processes. Together they form a simple, yet powerful variability mechanism that continuously learns, which variants to bind given the current context and system goals.
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5.
  • Abbas, Nadeem, 1980-, et al. (author)
  • Knowledge evolution in autonomic software product lines
  • 2011
  • In: SPLC '11 Proceedings of the 15th International Software Product Line Conference, Volume 2. - New York, NY, USA : ACM Press. - 9781450307895 ; , s. 36:1-36:8
  • Conference paper (peer-reviewed)abstract
    • We describe ongoing work in knowledge evolution management for autonomic software product lines. We explore how an autonomic product line may benefit from new knowledge originating from different source activities and artifacts at run time. The motivation for sharing run-time knowledge is that products may self-optimize at run time and thus improve quality faster compared to traditional software product line evolution. We propose two mechanisms that support knowledge evolution in product lines: online learning and knowledge sharing. We describe two basic scenarios for runtime knowledge evolution that involves these mechanisms. We evaluate online learning and knowledge sharing in a small product line setting that shows promising results.
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6.
  • Abbas, Nadeem, 1980-, et al. (author)
  • Modeling Variability in Product Lines Using Domain Quality Attribute Scenarios
  • 2012
  • In: Proceedings of the WICSA/ECSA 2012 Companion Volume. - New York, NY, USA : ACM Press. - 9781450315685 ; , s. 135-142
  • Conference paper (peer-reviewed)abstract
    • The concept of variability is fundamental in software product lines and a successful implementation of a product line largely depends on how well domain requirements and their variability are specified, managed, and realized. While developing an educational software product line, we identified a lack of support to specify variability in quality concerns. To address this problem we propose an approach to model variability in quality concerns, which is an extension of quality attribute scenarios. In particular, we propose domain quality attribute scenarios, which extend standard quality attribute scenarios with additional information to support specification of variability and deriving product specific scenarios. We demonstrate the approach with scenarios for robustness and upgradability requirements in the educational software product line.
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7.
  • Abbas, Nadeem, 1980- (author)
  • Towards autonomic software product lines
  • 2011
  • In: SPLC '11 Proceedings of the 15th International Software Product Line Conference, Volume 2. - New York, NY, USA : ACM Press. - 9781450307895 ; , s. 44:1-44:8
  • Conference paper (peer-reviewed)abstract
    • We envision an Autonomic Software Product Line (ASPL). The ASPL is a dynamic software product line that supports self adaptable products. We plan to use reflective architecture to model and develop ASPL. To evaluate the approach, we have implemented three autonomic product lines which show promising results. The ASPL approach is at initial stages, and require additional work. We plan to exploit online learning to realize more dynamic software product lines to cope with the problem of product line evolution. We propose on-line knowledge sharing among products in a product line to achieve continuous improvement of quality in product line products.
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8.
  • Abbas, Nadeem, 1980-, et al. (author)
  • Towards Autonomic Software Product Lines (ASPL) - A Technical Report
  • 2011
  • Reports (other academic/artistic)abstract
    • This report describes a work in progress to develop Autonomic Software Product Lines (ASPL). The ASPL is a dynamic software product line approach with a novel variability handling mechanism that enables traditional software product lines to adapt themselves at runtime in response to changes in their context, requirements and business goals. The ASPL variability mechanism is composed of three key activities: 1) context-profiling, 2) context-aware composition, and 3) online learning. Context-profiling is an offline activity that prepares a knowledge base for context-aware composition. The context-aware composition uses the knowledge base to derive a new product or adapts an existing product based on a product line's context attributes and goals. The online learning optimizes the knowledge base to remove errors and suboptimal information and to incorporate new knowledge. The three activities together form a simple yet powerful variability handling mechanism that learns and adapts a system at runtime in response to changes in system context and goals. We evaluated the ASPL variability mechanism on three small-scale software product lines and got promising results. The ASPL approach is, however, is yet at an initial stage and require improved development support with more rigorous evaluation. 
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9.
  • Abbasi, R., et al. (author)
  • Calibration and characterization of the IceCube photomultiplier tube
  • 2010
  • In: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 618:1-3, s. 139-152
  • Journal article (peer-reviewed)abstract
    • Over 5000 PMTs are being deployed at the South Pole to compose the IceCube neutrino observatory. Many are placed deep in the ice to detect Cherenkov light emitted by the products of high-energy neutrino interactions, and others are frozen into tanks on the surface to detect particles from atmospheric cosmic ray showers. IceCube is using the 10-in. diameter R7081-02 made by Hamamatsu Photonics. This paper describes the laboratory characterization and calibration of these PMTs before deployment. PMTs were illuminated with pulses ranging from single photons to saturation level. Parameterizations are given for the single photoelectron charge spectrum and the saturation behavior. Time resolution, late pulses and afterpulses are characterized. Because the PMTs are relatively large, the cathode sensitivity uniformity was measured. The absolute photon detection efficiency was calibrated using Rayleigh-scattered photons from a nitrogen laser. Measured characteristics are discussed in the context of their relevance to IceCube event reconstruction and simulation efforts. (C) 2010 Elsevier B.V. All rights reserved.
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10.
  • Abbasi, R., et al. (author)
  • Limits on a muon flux from Kaluza-Klein dark matter annihilations in the Sun from the IceCube 22-string detector
  • 2010
  • In: Physical Review D. - 1550-7998 .- 1550-2368. ; 81:5, s. 057101-
  • Journal article (peer-reviewed)abstract
    • A search for muon neutrinos from Kaluza-Klein dark matter annihilations in the Sun has been performed with the 22-string configuration of the IceCube neutrino detector using data collected in 104.3 days of live time in 2007. No excess over the expected atmospheric background has been observed. Upper limits have been obtained on the annihilation rate of captured lightest Kaluza-Klein particle (LKP) WIMPs in the Sun and converted to limits on the LKP-proton cross sections for LKP masses in the range 250-3000 GeV. These results are the most stringent limits to date on LKP annihilation in the Sun.
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