Documentation Driven Software Development

The views, opinions and/or findings contained in this report are those of the author(s) and should not contrued as an official Department of the Army position, policy or decision, unless so designated by other documentation.Our objective is to develop an integrated, systematic, documentation centric approach to software development, known as Documentation Driven Software Development (DDD). The research issues for DDD are creation and application of three key documenting technologies that will drive the development process and a Document Management System (DMS) that will support them. These technologies address (1) representations for active documents; (2) representations for repositories; (3) methods for analysis, transformation, and presentation of this information. In addition, we explored new possibilities for computed-aided interfaces that help humans with routine tasks. In doing so we applied Cognitive Science and machine learning methods to design user interfaces that can learn and assist users. We also expanded our work in the area of integration of ontologies from heterogeneous sources. Specifically, we studied Knowledge System Integration Ontology (KSIO) that aligns data and information systems with current situational context for the efficient knowledge collection, integration and transfer. The role of ontology is to organize and structure knowledge (e.g. by standardized terminology) so that semantic queries and associations become more efficient. We assessed the degree to which natural language processing can be usefully applied to the analysis of requirement changes and their impact on system structure and implementation

The Role of Adaptive Capacity on the Subjective Career Success of Former D-I African-American Male Athletes: A Mixed-Method Study

African-American male student-athletes who played a revenue-generating sport enter the labor market having relatively poor social networks, low grade point averages, few marketable skills outside of sports, restricted work experiences, and marginal subject matter knowledge; most of which are the result of their participation in sports (Singer, 2008). Therefore making the transition more difficult than even the average African-American male (Edwards, 1980). The purpose of this study was to: (1) Determine the factors that predict subjective career success for former D-I African-American male athletes who played a revenue-generating sport, and (2) Explore how former D-I African-American male athletes, who played a revenue-generating sport and realized subjective career success managed the transition from sport to the general labor market. This convergent parallel mixed-method study used survey research as well as semi- structured interviews to explore what factors contribute to the realization of subjective career success for former African-American male athletes. Stepwise linear regression was used to explore the relationship between the indevependent variables and the single dependent variable, subjective career success. The analysis showed that the only variable to produce a statistically significant outcome was adaptive capacity (full scale) (R=.386). The themes generated from the interviews with eight subjectively successful former athletes confirmed the quantitative results

Cloud Computing and Cloud Automata as A New Paradigm for Computation

Cloud computing addresses how to make right resources available to right computation to improve scaling, resiliency and efficiency of the computation. We argue that cloud computing indeed, is a new paradigm for computation with a higher order of artificial intelligence (AI), and put forward cloud automata as a new model for computation. A high-level AI requires infusing features that mimic human functioning into AI systems. One of the central features is that humans learn all the time and the learning is incremental. Consequently, for AI, we need to use computational models, which reflect incremental learning without stopping (sentience). These features are inherent in reflexive, inductive and limit Turing machines. To construct cloud automata, we use the mathematical theory of Oracles, which include Oracles of Turing machines as its special case. We develop a hierarchical approach based on Oracles with different ranks that includes Oracle AI as a special case. Discussing a named-set approach, we describe an implementation of a high-performance edge cloud using hierarchical name-oriented networking and Oracle AI-based orchestration. We demonstrate how cloud automata with a control overlay allows microservice network provisioning, monitoring and reconfiguration to address non-deterministic fluctuations affecting their behavior without interrupting the overall evolution of computation

Annual Report, 2012-2013

Beginning in 2004/2005- issued in online format onl

University of San Diego News Print Media Coverage 2008.09

Printed clippings housed in folders with a table of contents arranged by topic.https://digital.sandiego.edu/print-media/1068/thumbnail.jp

University of San Diego News Print Media Coverage 2008.05

Printed clippings housed in folders with a table of contents arranged by topic.https://digital.sandiego.edu/print-media/1064/thumbnail.jp