10 research outputs found
Data in Business Process Models. A Preliminary Empirical Study
Traditional activity-centric process modeling languages treat data as simple black boxes acting as input or output for activities. Many alternate and emerging process modeling paradigms, such as case handling and artifact-centric process modeling, give data a more central role. This is achieved by introducing lifecycles and states for data objects, which is beneficial when modeling data-or knowledge-intensive processes. We assume that traditional activity-centric process modeling languages lack the capabilities to adequately capture the complexity of such processes. To verify this assumption we conducted an online interview among BPM experts. The results not only allow us to identify various profiles of persons modeling business processes, but also the problems that exist in contemporary modeling languages w.r.t. The modeling of business data. Overall, this preliminary empirical study confirms the necessity of data-awareness in process modeling notations in general
A Survey on Handling Data in Business Process Models (Discussion Paper)
Traditional activity-centric process modeling languages treat data as simple black boxes acting as input or output for activities. Many alternate and emerging process modeling paradigms, such as case handling and artifact-centric process modeling, give data a more central role. This is achieved by introducing lifecycles and states for data objects, which is beneficial when modeling data- or
knowledge-intensive processes. We assume that traditional activity-centric process modeling languages lack the capabilities to adequately capture the complexity
of such processes. To verify this assumption, we conducted a survey among Business Process Management experts. The survey results allow us to identify the problems of contemporary modeling languages in regard to the modeling of business data. To this end, survey respondents rated the data modeling capabilities of a variety of business process modeling tools and notations. Overall, the paper
confirms the need of data-awareness in process modeling notations in general
Conceptual Variability Management in Software Families with Multiple Contributors
To offer customisable software, there are two main concepts yet: software product lines that allow the product customisation based on a fixed set of variability and software ecosystems, allowing an open product customisation based on a common platform.
Offering a software family that enables external developers to supply software artefacts means to offer a common platform as part of an ecosystem and to sacrifice variability control. Keeping full variability control means to offer a customisable product as a product line, but without the support for external contributors.
This thesis proposes a third concept of variable software: partly open software families. They combine a customisable platform similar to product lines with controlled openness similar to ecosystems.
As a major contribution of this thesis a variability modelling concept is proposed which is part of a variability management for these partly open software families. This modelling concept is based on feature models and extends them to support open variability modelling by means of interfaces, structural interface specifications and the inclusion of semantic information. Additionally, the introduction of a rights management allows multiple contributors to work with the model. This is required to enable external developers to use the model for the concrete extension development.
The feasibility of the proposed model is evaluated using a prototypically developed modelling tool and by means of a case study based on a car infotainment system
Online Catalog: Academic Year 2017-2018
Originally published online for Fuller Theological Seminary\u27s 2017-2018 academic year.https://digitalcommons.fuller.edu/academic_catalogs/1009/thumbnail.jp
Virginia Institute of Marine Science Forty-Seventh Annual Report (1988)
For the period ending June 30, 1988.https://scholarworks.wm.edu/vimsannualrpt/1024/thumbnail.jp
The Role of Topological Constraints in RNA Tertiary Folding and Dynamics.
Functional RNA molecules must fold into highly complex three-dimensional (3D) structures and undergo precise structural dynamics in order to carry out their biological functions. However, the principles that govern RNA 3D folding and dynamics remain poorly understood. Recent studies have proposed that topological constraints arising from the basic connectivity and steric properties of RNA secondary structure strongly confine the 3D conformation of RNA junctions and thus may contribute to the specificity of RNA 3D folding and dynamics. Herein, this hypothesis is explored in quantitative detail using a combination of computational heuristic models and the specially developed coarse-grained molecular dynamics model TOPRNA.
First, studies of two-way junctions provide new insight into the significance and mechanism of action of topological constraints. It is demonstrated that topological constraints explain the directionality and amplitude of bulge-induced bends, and that long-range tertiary interactions can modify topological constraints by disrupting non-canonical pairing in internal loops. Furthermore, topological constraints are shown to define free energy landscapes that coincide with the distribution of bulge conformations in structural databases and reproduce solution NMR measurements made on bulges.
Next, TOPRNA is used to investigate the contributions of topological constraints to tRNA folding and dynamics. Topological constraints strongly constrain tRNA 3D conformation and notably discriminate against formation of non-native tertiary contacts, providing a sequence-independent source of folding specificity. Furthermore, topological constraints are observed to give rise to thermodynamic cooperativity between distinct tRNA tertiary interactions and encode functionally important 3D dynamics. Mutant tRNAs with unnatural secondary structures are shown to lack these favorable characteristics, suggesting that topological constraints underlie the evolutionary conservation of tRNA secondary structure. Additional studies of a non-canonical mitochondrial tRNA show that increased topological constraints can reduce the entropic cost of tertiary folding, and that disruptions of topological constraints explain the pathogenicity of a insertion mutation in this tRNA. UV melting experiments verify these findings.
Finally, TOPRNA is used to study the topological constraints of the 197 nucleotide Azoarcus Group I ribozyme. It is shown that topological constraints strongly confine this RNA and provide a mechanism for encoding tertiary structure specificity and cooperative hierarchical folding behavior.PhDBiophysicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/110505/1/amustoe_1.pd