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Table 15 Developers and related organisations active in the Stoke-on-Trent industrial
Table 1. An Evaluation Framework for Aspect-Oriented ADLs In a previous work (Batista et al, 2006), we have used our conceptual framework to evaluate several AO and non-AO ADLs. For each issue of the framework, we analyzed how the different ADLs offer support to address it. As a result of our analysis, we have concluded that no extra architectural abstractions are needed to represent aspects. We have proposed the extension of the connector and configuration architectural abstractions to support the modeling of the composition mechanism used in the crosscutting concern representation at the architectural level. These extensions are related with the need to support new ways of composition, as well as the quantification property supported by a number of AO approaches. Next section describes our proposal of aspectual connectors which is the core of our extension proposal.
"... In PAGE 5: ... The conceptual framework was also derived from our extensive experience on: (i) the design of aspect-oriented software architectures in different application domains (Garcia et al, 2004)(Kulesza et al, 2004)(Garcia et al, 2006)(Kulesza et al, 2006)(Kulesza et al, 2006b), (ii) the development of modeling approaches to handle different categories of crosscutting concerns at the architectural stage (Chavez et al, 2006)(Garcia et al, 2006a)(Krechetov et al, 2006)(Kulesza et al, 2004), and (iii) analysis of the suitability of existing ADLs to support architectural aspects (Chitchyan et al, 2005)(Batista et al, 2006). As a result, our comparison framework is composed of seven main elements, which are described in Table1 . The first column lists the framework issues, while the second column defines the purpose of the respective issue and describes potential choices in the design of an AO ADL.... ..."
Table 10: The execution time ratio after the two delay optimizations and loop merging the cost of the control structures cannot be neglected when small collections are used. A solution to this problem could be the development of a new control scheme based upon an automaton where each state would represent a di erent clock state con guration (in the way of temporal synchronous languages such as Lustre [2] and Signal [3]). But, because of 81/2 apos;s ability to mix di erent clocks, we should expect rather large automata. The current execution scheme corresponds to a sequential control ow. A promising approach for a better exploitation of the new parallel architectures would be to exploit a parallel control ow. The 81/2 team has already worked in this way, particularly in the mapping and scheduling problems [53] that will be integrated in the present compiler.
Table 8: Clearly, most people think the degree of difficulty at work is the same as in academia, or somewhat lower/higher.
2004
"... In PAGE 94: ...Knowledge Area Is Available? Database Models Yes Search Engines No Data Mining/Warehousing Probably Digital Libraries Dubiously Transaction Processing Yes Data Compression Yes Table 77: Mapping of the Information Management Knowledge Area Computing at the Interface Knowledge Area Is Available? Human Computer Interaction Yes Graphics Probably Visualization Probably Multimedia Dubiously PDAs and Other New Hardware No User-Level Application Generators Dubiously Table 78: Mapping of the Computing at the Interface Knowledge Area Operating Systems Knowledge Area Is Available? Tasks, Processes and Threads Yes Process Coordination and Synchronization Yes Scheduling and Dispatching Yes Physical and Virtual Memory Yes File Systems Yes Networking Fundamentals Yes Security No Protection Dubiously Distributed Systems Yes Real-Time Computing Yes Embedded Systems Yes Mobile Computing Infrastructure No Table 79: Mapping of the Operating Systems Knowledge Area Programming Fundamentals and Skills Knowledge Area Is Available? Introduction to Programming Languages Yes Recursive Algorithms/Programming Yes Programming Paradigms Probably Program-Solving Strategies Probably Compilers/Translation Yes Code Generation Probably Table8 0: Mapping of the Programming Fundamentals and Skills Knowledge Area ... In PAGE 95: ...Knowledge Area Is Available? Computer-Supported Cooperative Work Probably Collaboration Technology Probably Distributed Objects Computing No E-Commerce No Enterprise Computing Dubiously Network-Level Security No Table8 1: Mapping of the Net-Centric Computing Knowledge Area Computational Science Knowledge Area Is Available? Numerical Analysis Dubiously Scientific Computing Dubiously Parallel Algorithms Probably Supercomputing Yes Modeling and Simulation Dubiously Table 82: Mapping of the Computational Science Knowledge Area Social, Ethical, Legal and Professional Issues Knowledge Area Is Available? Historical and Social Context of Computing No Philosophical Ethics Yes Intellectual Property No Copyrights, Patents, and Trade Secrets No Responsibilities of Computing Professionals Yes Risks Yes Liabilities No Computer Crime No Table 83: Mapping of the Social, Ethical, Legal and Professional Issues Knowledge Area Project Management Knowledge Area Is Available? Project Integration Management Dubiously Project Scope Management Dubiously Project Time Management Yes Project Cost Management Probably Project Quality Management Yes Project Human Resource Management Yes Project Communication Management Yes Project Risk Management Yes Project Procure Management Dubiously Table 84: Mapping of the Project Management Knowledge Area ... In PAGE 95: ...Knowledge Area Is Available? Computer-Supported Cooperative Work Probably Collaboration Technology Probably Distributed Objects Computing No E-Commerce No Enterprise Computing Dubiously Network-Level Security No Table 81: Mapping of the Net-Centric Computing Knowledge Area Computational Science Knowledge Area Is Available? Numerical Analysis Dubiously Scientific Computing Dubiously Parallel Algorithms Probably Supercomputing Yes Modeling and Simulation Dubiously Table8 2: Mapping of the Computational Science Knowledge Area Social, Ethical, Legal and Professional Issues Knowledge Area Is Available? Historical and Social Context of Computing No Philosophical Ethics Yes Intellectual Property No Copyrights, Patents, and Trade Secrets No Responsibilities of Computing Professionals Yes Risks Yes Liabilities No Computer Crime No Table 83: Mapping of the Social, Ethical, Legal and Professional Issues Knowledge Area Project Management Knowledge Area Is Available? Project Integration Management Dubiously Project Scope Management Dubiously Project Time Management Yes Project Cost Management Probably Project Quality Management Yes Project Human Resource Management Yes Project Communication Management Yes Project Risk Management Yes Project Procure Management Dubiously Table 84: Mapping of the Project Management Knowledge Area ... In PAGE 95: ...Knowledge Area Is Available? Computer-Supported Cooperative Work Probably Collaboration Technology Probably Distributed Objects Computing No E-Commerce No Enterprise Computing Dubiously Network-Level Security No Table 81: Mapping of the Net-Centric Computing Knowledge Area Computational Science Knowledge Area Is Available? Numerical Analysis Dubiously Scientific Computing Dubiously Parallel Algorithms Probably Supercomputing Yes Modeling and Simulation Dubiously Table 82: Mapping of the Computational Science Knowledge Area Social, Ethical, Legal and Professional Issues Knowledge Area Is Available? Historical and Social Context of Computing No Philosophical Ethics Yes Intellectual Property No Copyrights, Patents, and Trade Secrets No Responsibilities of Computing Professionals Yes Risks Yes Liabilities No Computer Crime No Table8 3: Mapping of the Social, Ethical, Legal and Professional Issues Knowledge Area Project Management Knowledge Area Is Available? Project Integration Management Dubiously Project Scope Management Dubiously Project Time Management Yes Project Cost Management Probably Project Quality Management Yes Project Human Resource Management Yes Project Communication Management Yes Project Risk Management Yes Project Procure Management Dubiously Table 84: Mapping of the Project Management Knowledge Area ... In PAGE 95: ...Knowledge Area Is Available? Computer-Supported Cooperative Work Probably Collaboration Technology Probably Distributed Objects Computing No E-Commerce No Enterprise Computing Dubiously Network-Level Security No Table 81: Mapping of the Net-Centric Computing Knowledge Area Computational Science Knowledge Area Is Available? Numerical Analysis Dubiously Scientific Computing Dubiously Parallel Algorithms Probably Supercomputing Yes Modeling and Simulation Dubiously Table 82: Mapping of the Computational Science Knowledge Area Social, Ethical, Legal and Professional Issues Knowledge Area Is Available? Historical and Social Context of Computing No Philosophical Ethics Yes Intellectual Property No Copyrights, Patents, and Trade Secrets No Responsibilities of Computing Professionals Yes Risks Yes Liabilities No Computer Crime No Table 83: Mapping of the Social, Ethical, Legal and Professional Issues Knowledge Area Project Management Knowledge Area Is Available? Project Integration Management Dubiously Project Scope Management Dubiously Project Time Management Yes Project Cost Management Probably Project Quality Management Yes Project Human Resource Management Yes Project Communication Management Yes Project Risk Management Yes Project Procure Management Dubiously Table8 4: Mapping of the Project Management Knowledge Area ... In PAGE 96: ... Knowledge Area Is Available? Digital Data Manipulation No Processor Design No Digital Systems Design No Computer Organization Yes Storage Devices and Systems Yes Peripherals and Communication Dubiously High Performance Systems Yes System Design Yes Measurement and Instrumentation No Codes and Standards Dubiously Circuit Theory No Electronics No Controls Probably Combinational and Sequential Logic Probably Embedded Systems Software Yes Engineering Systems Analysis with Numerical Methods No Computer Modeling and Simulation Dubiously Table8 5: Mapping of the Computer Engineering Knowledge Area Systems Engineering Knowledge Area Is Available? Need Analysis Yes Behavioral Analysis Probably Enterprise Analysis Probably Prototyping Yes Project Planning Yes Acquisition Probably Requirements Definition Yes System Definition Yes Specification Trees Dubiously System Breakdown Structure Probably Design Yes Effectiveness Analysis No Component Specification Yes Integration Yes Maintenance amp; Operations No Configuration Management Yes Documentation Dubiously Systems Quality Analysis and Management Dubiously Systems V amp;V Yes System Evaluation Probably Systems Lifecycle Cost Estimation Yes Design of Human-Machine Systems Probably Fractals and Self-Similarities Dubiously ... In PAGE 97: ...Essential Functional Processes (IEEE 1220) Is Available? Development Yes Manufacturing Probably Test Yes Distribution Yes Operations Probably Support Dubiously Training Dubiously Disposal Dubiously Techniques amp; Tools (IEEE 1220) Is Available? Metrics Yes Privacy No Process Improvement Yes Reliability Yes Safety Dubiously Security Dubiously Vocabulary Dubiously Effectiveness Assessment Dubiously Table8 6-88: Mapping of the Systems Engineering Knowledge Area Management and Management Science Knowledge Area Is Available? Business Strategy Yes Finance Yes Economic Environment Probably Legal Environment Dubiously Regulation Processes Dubiously Organizational Characteristics Probably Organizational Functions Probably Organizational Dynamics Probably Data Resource Management Yes Information Resource Management Yes Personnel Resource Management Yes IS Staffing Probably Innovation and Change Probably Accounting Probably Training Dubiously Financial Models Yes Planning Models Yes Optimization Models Yes Heuristics Probably Linear Programming Dubiously Goal Programming No Mathematical Programming No Statistics Yes Simulation Dubiously Table 89: Mapping of the Management and Management Science Knowledge Area ... In PAGE 97: ...Essential Functional Processes (IEEE 1220) Is Available? Development Yes Manufacturing Probably Test Yes Distribution Yes Operations Probably Support Dubiously Training Dubiously Disposal Dubiously Techniques amp; Tools (IEEE 1220) Is Available? Metrics Yes Privacy No Process Improvement Yes Reliability Yes Safety Dubiously Security Dubiously Vocabulary Dubiously Effectiveness Assessment Dubiously Table 86-88: Mapping of the Systems Engineering Knowledge Area Management and Management Science Knowledge Area Is Available? Business Strategy Yes Finance Yes Economic Environment Probably Legal Environment Dubiously Regulation Processes Dubiously Organizational Characteristics Probably Organizational Functions Probably Organizational Dynamics Probably Data Resource Management Yes Information Resource Management Yes Personnel Resource Management Yes IS Staffing Probably Innovation and Change Probably Accounting Probably Training Dubiously Financial Models Yes Planning Models Yes Optimization Models Yes Heuristics Probably Linear Programming Dubiously Goal Programming No Mathematical Programming No Statistics Yes Simulation Dubiously Table8 9: Mapping of the Management and Management Science Knowledge Area ... ..."
Table 1. Ease of use and developing new modules and control.
2005
"... In PAGE 6: ... Ease of Use We have discussed the main architectural differences; we will now look at some numbers regarding usage and runtime behaviour. Table1 shows the time it took to work with the basic and advanced building blocks of creating a modular system, from installing the example system, creating modules from the built-in pool of examples and new modules with own code, to working with control. The work was done by a single developer who knew the vision application intimately, as well as both frameworks.... ..."
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Table 6: Using the classification system to organise multiple sources of evidence.
"... In PAGE 16: ... Table6 presents a sample of empirical evidence that demonstrates one way in which the classification system can be used to organise different types of evidence. The method of organisation is to sort the statements in each source of evidence according to a particular category (in this example, it is the capability category) and then to order the evidence by week number.... In PAGE 18: ... This example draws only upon the evidence presented in the previous sections of this paper. Table6 indicates that the development resource was planned to be distributed between approximately 21% (4 of 19 people) for development of new features and 79% (15 of 19 people) for servicing the existing product (see IDs O/002 and D/002). The resource was actually distributed with approximately 50% of the total resource committed to development (see Interview ID I/009 in Table 6).... In PAGE 18: ... Table 6 indicates that the development resource was planned to be distributed between approximately 21% (4 of 19 people) for development of new features and 79% (15 of 19 people) for servicing the existing product (see IDs O/002 and D/002). The resource was actually distributed with approximately 50% of the total resource committed to development (see Interview ID I/009 in Table6 ). Table 7 indicates that the availability of... ..."
Table 1: Comparison of Enterprise Reference Architectures
"... In PAGE 3: ..., 1997) and the engineering work needed to accomplish it, is not clear. A comparison of existing enterprise reference architectures is presented in Table1 . As it can be seen in Table 1, strategy is not part of the reference architectures.... ..."
Table 2: Summary of the conceptual to reference architecture mapping.
"... In PAGE 9: ... The diversity of the examined software systems indicates that our derived reference architecture is not biased to any development technique or organization. Examining Table2 that summarizes the mappings from conceptual to reference architecture for each web server, we notice that the conceptual ar- chitecture of each web server fits well in the reference architecture for web servers. The main differences in structure between the reference and conceptual archi- tectures are some splitting and merging of subsystems and differing numbers of support subsystems.... ..."
Table 2: Comparison of Different Conceptualizations of School/University and Lifelong Learning
"... In PAGE 3: ... Table 1 contrasts these approaches with postulating new goals and new objectives for the information age. Skinner/Taylor Beyond Skinner and Taylor there is a scientific, best way to learn and to work --- gt; real problems are ill-defined and wicked separation of thinking, doing, and learning --- gt; integration of thinking, doing, and learning task domains can be completely understood --- gt; understanding is partial; coverage is impossible objective ways to decompose problems into standardizable actions --- gt; subjective, situated personal interests; need for iterative explorations all relevant knowledge can be explicitly articulated --- gt; much knowledge is tacit and relies on tacit skills teacher / manager as oracle --- gt; teacher / manager as facilitator or coach operational environment: mass markets, simple products and processes, slow change, certainty --- gt; customer orientation, complex products and processes, rapid and substantial change, uncertainty and conflicts Table 1: Transcending Skinner and Taylor The conceptual framework outline in Table 1 provides the foundation to characterize a differentiation between school and lifelong learning, as illustrated by Table2 . Assuming that schools create mindsets about learning, teaching, and collaboration implies that there is no evidence that a big switch theory will succeed, meaning that a student who was educated as a... ..."
Table 1. Mappings to Conceptual Graphs
"... In PAGE 3: ... Ports are mapped onto conceptual relation nodes, and the name of the port becomes the referent of the conceptual relation node. This mapping of simple block diagrams is depicted in Table1 . Block diagram schemes using different icons can be accounted for by extending the mapping to associate a different concept type with each distinct icon.... In PAGE 4: ... The carrier involved becomes the location (loc) of the action, and the interval itself is represented by an interval concept which is the duration (during) of the action. This mapping (which also appears in Table1 ) is the subject of further research, particularly in conjunction with developing a mapping for temporal logic [2,11]. Text Text is employed in design documents to annotate and explain the diagrams and tables, as well as to provide additional requirements on the structure and behavior of the subject device or system.... ..."
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