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| 2. |
- Abbas, Nadeem, et al.
(author)
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Autonomic Software Product Lines (ASPL)
- 2010
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In: ECSA '10 Proceedings of the Fourth European Conference on Software Architecture. - New York, NY, USA : ACM Press. - 9781450301794 ; , s. 324-331
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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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| 3. |
- Abbas, Nadeem, 1980-, et al.
(author)
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Towards Autonomic Software Product Lines (ASPL) - A Technical Report
- 2011
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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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| 4. |
- Ambrosius, Robin, et al.
(author)
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Interviews Aided with Machine Learning
- 2018
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In: Perspectives in Business Informatics Research. BIR 2018. - Cham : Springer. - 9783319999500 - 9783319999517 ; , s. 202-216
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Conference paper (peer-reviewed)abstract
- We have designed and implemented a Computer Aided Personal Interview (CAPI) system that learns from expert interviews and can support less experienced interviewers by for example suggesting questions to ask or skip. We were particularly interested to streamline the due diligence process when estimating the value for software startups. For our design we evaluated some machine learning algorithms and their trade-offs, and in a small case study we evaluates their implementation and performance. We find that while there is room for improvement, the system can learn and recommend questions. The CAPI system can in principle be applied to any domain in which long interview sessions should be shortened without sacrificing the quality of the assessment.
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| 5. |
- Andersson, Jesper, et al.
(author)
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Automatic Rule Derivation for Adaptive Architectures
- 2008
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In: 8th IEEE/IFIP Working Conference on Software Architecture. - : IEEE. - 9780769530925 ; , s. 323-326
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Conference paper (peer-reviewed)abstract
- This paper discusses on-going work in adaptive architectures concerning automatic adaptation rule derivation. Adaptation is rule-action based but deriving rules that meet the adaptation goals are tedious and error prone. We present an approach that uses model-driven derivation and training for automatically deriving adaptation rules, and exemplify this in an environment for scientific computing.
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| 6. |
- Andersson, Jesper, et al.
(author)
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Profile-Guided Composition
- 2008
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In: 7th Int. Symposium on Software Composition SC 2008,2008. - Berlin : Springer. ; , s. 157-
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Conference paper (peer-reviewed)abstract
- We present an approach that generates context-aware, optimized libraries of algorithms and data structures. The search space contains all combinations of implementation variants of algorithms and data structures including dynamically switching and converting between them. Based on profiling, the best implementation for a certain context is precomputed at deployment time and selected at runtime. In our experiments, the profile-guided composition outperforms the individual variants in almost all cases.
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| 7. |
- Andersson, Jesper, et al.
(author)
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Profile-guided Composition
- 2008
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In: 7th International Symposium on Software Composition. - : Springer. - 9783540787884 ; , s. 157-164
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Conference paper (peer-reviewed)
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| 8. |
- Andersson, Jesper, et al.
(author)
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Reconfigurable scientific applications on GRID services
- 2005
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In: Advances in Grid Computing. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540269182 - 9783540320364 ; , s. 813-822
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Book chapter (other academic/artistic)abstract
- This paper proposes a runtime environment for dynamically changing, parallel scientific applications. This kind of applications is motivated by the LOFAR/LOIS project aiming at a multidisciplinary research platform for natural scientists and engineers. The dynamic infrastructure in turn is than mapped to Grid Services environments.
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| 9. |
- Andersson, Jesper, et al.
(author)
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Service Level Achievements : Distributed Knowledge for Optimal Service Selection
- 2011
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In: Proceedings - 9th IEEE European Conference on Web Services, ECOWS 2011. - : IEEE. - 9781457715327 ; , s. 125-132
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Conference paper (peer-reviewed)abstract
- In a service-oriented setting, where services are composed to provide end user functionality, it is a challenge to find the service components with best-fit functionality and quality. A decision based on information mainly provided by service providers is inadequate as it cannot be trusted in general. In this paper, we discuss service compositions in an open market scenario where an automated best-fit service selection and composition is based on Service Level Achievements instead. Continuous monitoring updates the actual Service Level Achievements which can lead to dynamically changing compositions. Measurements of real life services exemplify the approach.
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| 10. |
- Backåberg, Sofia, 1979-, et al.
(author)
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Evaluation of the Skeleton Avatar Technique for Assessment of Mobility and Balance Among Older Adults
- 2020
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In: Frontiers of Computer Science. - : Frontiers Media S.A.. - 2095-2228 .- 2095-2236 .- 2624-9898. ; 2
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Journal article (peer-reviewed)abstract
- Background: Mobility and balance is essential for older adults’ well-being an independence and the ability tomaintain physically active. Early identification of functionalimpairmentmay enable early risk-of-fall assessments and preventivemeasures. There is a need to find new solutions to assess functional ability in easy, efficient, and accurateways, which can be clinically used frequently and repetitively. Therefore, we need to understand how functional tests and expert assessments (EAs) correlate with new techniques.Objective: To explore whether the skeleton avatar technique (SAT) can predict the results of functional tests (FTs) of mobility and balance: Timed Up and Go (TUG), the 30-s chair stand test (30sCST), the 4-stage balance test (4SBT), and EA scoring of movement quality.Methods: Fifty-four older adults (+65 years) were recruited through pensioners’ associations. The test procedure contained three standardized FTs: TUG, 30sCST, and 4SBT. The test performances were recorded using a three-dimensional SAT camera. EA scoring was performed based on the video recordings of the 30sCST. Functional ability scores were aggregated from balance and mobility scores. Probability theory-based statistical analyses were used on the data to aggregate sets of individual variables into scores, with correlation analysis used to assess the dependency between variables and between scores. Machine learning techniques were used to assess the appropriateness of easily observable variables/scores as predictors of the other variables included.Results: The results indicate that SAT data of the fourth 4SBT stage could be used to predict the aggregated results of all stages of 4SBT (with 7.82% mean absolute error), the results of the 30sCST (11.0%), the TUG test (8.03%), and the EA of the sit-to-stand movement (8.79%). There is a moderate (significant) correlation between the 30sCST and the 4SBT (0.31, p = 0.03), but not between the EA and the 30sCST.Conclusion: SAT can predict the results of the 4SBT, the 30sCST (moderate accuracy), and the TUG test and might add important qualitative information to the assessment of movement performance in active older adults. SAT might in the future provide the means for a simple, easy, and accessible assessment of functional ability among older adults.
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