The development and technology transfer of software engineering technology at NASA. Johnson Space Center

The United State's big space projects of the next decades, such as Space Station and the Human Exploration Initiative, will need the development of many millions of lines of mission critical software. NASA-Johnson (JSC) is identifying and developing some of the Computer Aided Software Engineering (CASE) technology that NASA will need to build these future software systems. The goal is to improve the quality and the productivity of large software development projects. New trends are outlined in CASE technology and how the Software Technology Branch (STB) at JSC is endeavoring to provide some of these CASE solutions for NASA is described. Key software technology components include knowledge-based systems, software reusability, user interface technology, reengineering environments, management systems for the software development process, software cost models, repository technology, and open, integrated CASE environment frameworks. The paper presents the status and long-term expectations for CASE products. The STB's Reengineering Application Project (REAP), Advanced Software Development Workstation (ASDW) project, and software development cost model (COSTMODL) project are then discussed. Some of the general difficulties of technology transfer are introduced, and a process developed by STB for CASE technology insertion is described

Model-Based Testing of Safety Critical Real-Time Control Logic Software

The paper presents the experience of the authors in model based testing of safety critical real-time control logic software. It describes specifics of the corresponding industrial settings and discusses technical details of usage of UniTESK model based testing technology in these settings. Finally, we discuss possible future directions of safety critical software development processes and a place of model based testing techniques in it.Comment: In Proceedings MBT 2012, arXiv:1202.582

Towards understanding software: 15 years in the SEL

For 15 years, the Software Engineering Laboratory (SEL) at GSFC has been carrying out studies and experiments for the purpose of understanding, assessing, and improving software, and software processes within a production software environment. The SEL comprises three major organizations: (1) the GSFC Flight Dynamics Division; (2) the University of Maryland Computer Science Department; and (3) the Computer Sciences Corporation Flight Dynamics Technology Group. These organizations have jointly carried out several hundred software studies, producing hundreds of reports, papers, and documents: all describing some aspect of the software engineering technology that has undergone analysis in the flight dynamics environment. The studies range from small controlled experiments (such as analyzing the effectiveness of code reading versus functional testing) to large, multiple-project studies (such as assessing the impacts of Ada on a production environment). The key findings that NASA feels have laid the foundation for ongoing and future software development and research activities are summarized

Outsourcing and acquisition models comparison related to IT supplier selection decision analysis

This paper presents a comparison of acquisition models related to decision analysis of IT supplier selection. The main standards are: Capability Maturity Model Integration for Acquisition (CMMI-ACQ), ISO / IEC 12207 Information Technology / Software Life Cycle Processes, IEEE 1062 Recommended Practice for Software Acquisition, the IT Infrastructure Library (ITIL) and the Project Management Body of Knowledge (PMBOK) guide. The objective of this paper is to compare the previous models to find the advantages and disadvantages of them for the future development of a decision model for IT supplier selection

Designing and evaluating the usability of a machine learning API for rapid prototyping music technology

To better support creative software developers and music technologists' needs, and to empower them as machine learning users and innovators, the usability of and developer experience with machine learning tools must be considered and better understood. We review background research on the design and evaluation of application programming interfaces (APIs), with a focus on the domain of machine learning for music technology software development. We present the design rationale for the RAPID-MIX API, an easy-to-use API for rapid prototyping with interactive machine learning, and a usability evaluation study with software developers of music technology. A cognitive dimensions questionnaire was designed and delivered to a group of 12 participants who used the RAPID-MIX API in their software projects, including people who developed systems for personal use and professionals developing software products for music and creative technology companies. The results from the questionnaire indicate that participants found the RAPID-MIX API a machine learning API which is easy to learn and use, fun, and good for rapid prototyping with interactive machine learning. Based on these findings, we present an analysis and characterization of the RAPID-MIX API based on the cognitive dimensions framework, and discuss its design trade-offs and usability issues. We use these insights and our design experience to provide design recommendations for ML APIs for rapid prototyping of music technology. We conclude with a summary of the main insights, a discussion of the merits and challenges of the application of the CDs framework to the evaluation of machine learning APIs, and directions to future work which our research deems valuable

A knowledge based software engineering environment testbed

The Carnegie Group Incorporated and Boeing Computer Services Company are developing a testbed which will provide a framework for integrating conventional software engineering tools with Artifical Intelligence (AI) tools to promote automation and productivity. The emphasis is on the transfer of AI technology to the software development process. Experiments relate to AI issues such as scaling up, inference, and knowledge representation. In its first year, the project has created a model of software development by representing software activities; developed a module representation formalism to specify the behavior and structure of software objects; integrated the model with the formalism to identify shared representation and inheritance mechanisms; demonstrated object programming by writing procedures and applying them to software objects; used data-directed and goal-directed reasoning to, respectively, infer the cause of bugs and evaluate the appropriateness of a configuration; and demonstrated knowledge-based graphics. Future plans include introduction of knowledge-based systems for rapid prototyping or rescheduling; natural language interfaces; blackboard architecture; and distributed processin

Strong Cryptography: The Global Tide of Change

Encryption technology allows people using electronic networks to ensure that the messages they send remain private--secure from hackers, industrial espionage, government wiretap abuses, and spies. Encryption technology will prove vital to the future of electronic commerce. For example, thefts of nuclear secrets from U.S. national laboratories would be much less likely if the labs' commercial software had built-in encryption features that could be used to limit unauthorized access--a type of security product discouraged by export controls. For years the U.S. government has struggled unsuccessfully to control the export of encryption technology from this country. Those ineffectual controls do, however, adversely affect the competitive position of the U.S. software industry and national security. Despite the controls, powerful encryption products are increasingly available around the world. Those products include Pretty Good Privacy, which offers 128-bit encryption, and many others. This paper provides a list of Web sites where such products may be found, thus establishing beyond doubt the futility of controls. Although some of the Web sites may from time to time disappear, others will spring up in their place

Payload software technology

A software analysis was performed of known STS sortie payload elements and their associated experiments. This provided basic data for STS payload software characteristics and sizes. A set of technology drivers was identified based on a survey of future technology needs and an assessment of current software technology. The results will be used to evolve a planned approach to software technology development. The purpose of this plan is to ensure that software technology is advanced at a pace and a depth sufficient to fulfill the identified future needs

School Nutrition Directors’ Perceptions of Technology Use in School Nutrition Programs

Citation: Pratt, P., Bednar, C., & Kwon, J. (2012). School nutrition directors’ perceptions of technology use in school nutrition programs. Journal of Child Nutrition & Management, 36(2).Purpose/Objectives: This study investigated the types of technology/software currently used by Southwest Region school nutrition directors (SNDs) and assessed their perceptions of barriers to purchasing new technology/software. In addition, the importance of future technology/software acquisitions in meeting school nutrition program (SNP) goals was examined. Methods: A questionnaire was developed by the researchers, validated by an expert panel using the Delphi technique, converted to an online format, and pilot tested. A randomized group of School Nutrition Association SNDs and members of the Academy of Nutrition and Dietetics School Nutrition Services Dietetic Practice Group listserv participated. Participants (N = 111) identified technology/software currently used, their perceived computer skill level, and other demographics. Likert-type scales were used to rate agreement/disagreement with barriers to purchasing new technology/software and the importance of future technology/software acquisitions. Multivariate analyses were used to determine differences in SND ratings according to demographic variables. Results: SNDs who completed the survey used a variety of technology/software. The majority of respondents worked in suburban or metropolitan communities and perceived themselves as having advanced/expert computer skills. Older SNDs, SNDs with less education, and SNDs serving fewer meals per day found inadequate funds, outdated computers, and lack of information technology and administrative support to be barriers to acquiring new technology/software. However, SNDs with higher perceived computer skills (p = .003) and higher education levels (p = .073) were more likely to disagree with these barriers. SNDs with higher perceived computer skills utilized the most technology/software (p = .000) and were more likely to see future technology/software acquisitions (p = .551) as important to meeting SNP goals. Applications to Child Nutrition Professionals: Although technology is widely used by many SNDs, some SNDs have not implemented software applications that could help reduce costs and improve productivity. The school nutrition industry needs influential leaders who can develop local mentorship programs, initiate computer skill building classes, and encourage online training for this group of SNDs