Workshop on NASA workstation technology

RIACS hosted a workshop which was designed to foster communication among those people within NASA working on workstation related technology, to share technology, and to learn about new developments and futures in the larger university and industrial workstation communities. Herein, the workshop is documented along with its conclusions. It was learned that there is both a large amount of commonality of requirements and a wide variation in the modernness of in-use technology among the represented NASA centers

Challenges and Directions in Formalizing the Semantics of Modeling Languages

Developing software from models is a growing practice and there exist many model-based tools (e.g., editors, interpreters, debuggers, and simulators) for supporting model-driven engineering. Even though these tools facilitate the automation of software engineering tasks and activities, such tools are typically engineered manually. However, many of these tools have a common semantic foundation centered around an underlying modeling language, which would make it possible to automate their development if the modeling language specification were formalized. Even though there has been much work in formalizing programming languages, with many successful tools constructed using such formalisms, there has been little work in formalizing modeling languages for the purpose of automation. This paper discusses possible semantics-based approaches for the formalization of modeling languages and describes how this formalism may be used to automate the construction of modeling tools

Workshop proceedings: Information Systems for Space Astrophysics in the 21st Century, volume 1

The Astrophysical Information Systems Workshop was one of the three Integrated Technology Planning workshops. Its objectives were to develop an understanding of future mission requirements for information systems, the potential role of technology in meeting these requirements, and the areas in which NASA investment might have the greatest impact. Workshop participants were briefed on the astrophysical mission set with an emphasis on those missions that drive information systems technology, the existing NASA space-science operations infrastructure, and the ongoing and planned NASA information systems technology programs. Program plans and recommendations were prepared in five technical areas: Mission Planning and Operations; Space-Borne Data Processing; Space-to-Earth Communications; Science Data Systems; and Data Analysis, Integration, and Visualization

Department of Radiology-Annual Report-July 1, 1997 to June 30, 1998

Department of Radiology Annual Executive Summary Report, July 1, 1997 to June 30, 1998. Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, United States. 103 pages

Model-driven development for pervasive information systems

This chapter focus on design methodologies for pervasive information systems (PIS). It aims to contribute for the efficiency and effectiveness on software development of ubiquitous services/applications supported on pervasive information systems. Pervasive information systems are composed of conveniently orchestrated embedded or mobile computing devices that offer innovative ways to support existing and new business models. Those systems are characterized as having a potential large number of interactive heterogeneous embedded/mobile computing devices that collect, process, and communicate information. Additionally, they are target of high rates of technological innovations. Therefore, changes on requirements or in technology demands for frequent modifications on software at device and system levels. Software design and evolution for those requires suitable approaches that cope with such demands and characteristics of pervasive information systems. Model-driven development approaches (which essentially centre the focus of development on models, and involves concepts such as Platform-Independent Models, Platform-Specific Models, model transformations, and use of established standards) currently in research at academic and industrial arenas to design of large systems, offer potential benefits that can be applied to design and evolution of these pervasive information systems. In this chapter, we raise issues and propose strategies related to the software development of PIS using a model-driven development perspective

Focal Spot, Spring 1994

https://digitalcommons.wustl.edu/focal_spot_archives/1066/thumbnail.jp

Critical Team Composition Issues for Long-Distance and Long-Duration Space Exploration: A Literature Review, an Operational Assessment, and Recommendations for Practice and Research

Prevailing team effectiveness models suggest that teams are best positioned for success when certain enabling conditions are in place (Hackman, 1987; Hackman, 2012; Mathieu, Maynard, Rapp, & Gilson, 2008; Wageman, Hackman, & Lehman, 2005). Team composition, or the configuration of member attributes, is an enabling structure key to fostering competent teamwork (Hackman, 2002; Wageman et al., 2005). A vast body of research supports the importance of team composition in team design (Bell, 2007). For example, team composition is empirically linked to outcomes such as cooperation (Eby & Dobbins, 1997), social integration (Harrison, Price, Gavin, & Florey, 2002), shared cognition (Fisher, Bell, Dierdorff, & Belohlav, 2012), information sharing (Randall, Resick, & DeChurch, 2011), adaptability (LePine, 2005), and team performance (e.g., Bell, 2007). As such, NASA has identified team composition as a potentially powerful means for mitigating the risk of performance decrements due to inadequate crew cooperation, coordination, communication, and psychosocial adaptation in future space exploration missions. Much of what is known about effective team composition is drawn from research conducted in conventional workplaces (e.g., corporate offices, production plants). Quantitative reviews of the team composition literature (e.g., Bell, 2007; Bell, Villado, Lukasik, Belau, & Briggs, 2011) are based primarily on traditional teams. Less is known about how composition affects teams operating in extreme environments such as those that will be experienced by crews of future space exploration missions. For example, long-distance and long-duration space exploration (LDSE) crews are expected to live and work in isolated and confined environments (ICEs) for up to 30 months. Crews will also experience communication time delays from mission control, which will require crews to work more autonomously (see Appendix A for more detailed information regarding the LDSE context). Given the unique context within which LDSE crews will operate, NASA identified both a gap in knowledge related to the effective composition of autonomous, LDSE crews, and the need to identify psychological and psychosocial factors, measures, and combinations thereof that can be used to compose highly effective crews (Team Gap 8). As an initial step to address Team Gap 8, we conducted a focused literature review and operational assessment related to team composition issues for LDSE. The objectives of our research were to: (1) identify critical team composition issues and their effects on team functioning in LDSE-analogous environments with a focus on key composition factors that will most likely have the strongest influence on team performance and well-being, and 1 Astronaut diary entry in regards to group interaction aboard the ISS (p.22; Stuster, 2010) 2 (2) identify and evaluate methods used to compose teams with a focus on methods used in analogous environments. The remainder of the report includes the following components: (a) literature review methodology, (b) review of team composition theory and research, (c) methods for composing teams, (d) operational assessment results, and (e) recommendations

On the engineering of crucial software

The various aspects of the conventional software development cycle are examined. This cycle was the basis of the augmented approach contained in the original grant proposal. This cycle was found inadequate for crucial software development, and the justification for this opinion is presented. Several possible enhancements to the conventional software cycle are discussed. Software fault tolerance, a possible enhancement of major importance, is discussed separately. Formal verification using mathematical proof is considered. Automatic programming is a radical alternative to the conventional cycle and is discussed. Recommendations for a comprehensive approach are presented, and various experiments which could be conducted in AIRLAB are described

Development framework pattern for pervasive information systems

During last decade, the world watched a social acceptance of computing and computers, enhanced information technology devices, wireless networks, and Internet; they gradually became a fundamental resource for individuals. Nowadays, people, organizations, and the environment are empowered by computing devices and systems; they depend on services offered by modern Pervasive Information Systems supported by complex software systems and technology. Research on software development for PIS-delivered information, on issues and challenges on software development for them, and several other contributions have been delivered. Among these contributions are a development framework for PIS, a profiling and framing structure approach, and a SPEM 2.0 extension. This chapter, revisiting these contributions, provides an additional contribution: a pattern to support the use of the development framework and profiling approach on software development for PIS. This contribution completes a first series of contributions for the development of PIS. This chapter also presents a case study that allowed demonstrating the applicability of these contribution

The relationship between entrepreneurial orientation, human resource management practices, organizational innovation and managerial ties to SME performance

Malaysian small and medium enterprises (SMEs) still have not performed to their fullest potential. SMEs have to focus on factors required to improve their performance. Therefore, this study is undertaken to investigate the possible variables that could better explain the performance of SMEs by investigating the relationship between entrepreneurial orientation (EO), human resource management (HRM) practices (i.e. communication and information sharing, compensation, job design, performance appraisal, selection, training and development) and organizational innovation on organizational performance. Specifically, it aims to investigate both the mediating roles of organizational innovation on the relationship between EO and HRM practices towards organizational performance and the moderating role of managerial ties on the relationship between organizational innovation and organizational performance. Resource-based view theory and social capital theory are integrated to explain the possible relationship between the variables in the research model. A total of 321 owners/managers of manufacturing SMEs, representing a response rate of 60.5%, participated in this study. Data was collected via self-administered questionnaires. PLS-SEM was used to analyze the data and test the hypotheses. Statistical results show that EO and certain HRM practices (i.e. communication and information sharing, compensation, performance appraisal, selection, training and development) are positively related to organizational innovation. Organizational innovation is also found to be positively related to organizational performance. Moreover, results reveal that organizational innovation mediates the relationship between EO and certain HRM practices (i.e. communication and information sharing, compensation, performance appraisal, selection, training and development) and organizational performance. However, no empirical support is found for the moderating effect of managerial ties on the relationship between organizational innovation and organizational performance. Finally, theoretical and methodological contributions, managerial implications and recommendations for future research are discussed