Multiple-choice tests in teaching software engineers : how applied and how applicable?

Although computer-aided assessment has been developed since late 1980’s, advantages and disadvantages of multiple-choice tests (MCTs), as opposed to traditional academic techniques (such as essays), are still greatly debated. This paper overviews current practice of application of MCTs in Computing and generally outlines their applicability in teaching Software Engineering, as a subject area in HE

In the soft-to-hard technical spectrum: Where is software engineering?

In the computer journals and tabloids, there have been a plethora of articles written about the software engineering field. But while advocates of the need for an engineering approach to software development, it is impressive how many authors have treated the subject of software engineering without adequately addressing the fundamentals of what engineering as a discipline consists of. A discussion is presented of the various related facets of this issue in a logical framework to advance the thesis that the software development process is necessarily an engineering process. The purpose is to examine more of the details of the issue of whether or not the design and development of software for digital computer processing systems should be both viewed and treated as a legitimate field of professional engineering. Also, the type of academic and professional level education programs that would be required to support a software engineering discipline is examined

Digital processing of mesoscale analysis and space sensor data

The mesoscale analysis and space sensor (MASS) data management and analysis system on the research computer system is presented. The MASS data base management and analysis system was implemented on the research computer system which provides a wide range of capabilities for processing and displaying large volumes of conventional and satellite derived meteorological data. The research computer system consists of three primary computers (HP-1000F, Harris/6, and Perkin-Elmer 3250), each of which performs a specific function according to its unique capabilities. The overall tasks performed concerning the software, data base management and display capabilities of the research computer system in terms of providing a very effective interactive research tool for the digital processing of mesoscale analysis and space sensor data is described

A distributed agent architecture for real-time knowledge-based systems: Real-time expert systems project, phase 1

We propose a distributed agent architecture (DAA) that can support a variety of paradigms based on both traditional real-time computing and artificial intelligence. DAA consists of distributed agents that are classified into two categories: reactive and cognitive. Reactive agents can be implemented directly in Ada to meet hard real-time requirements and be deployed on on-board embedded processors. A traditional real-time computing methodology under consideration is the rate monotonic theory that can guarantee schedulability based on analytical methods. AI techniques under consideration for reactive agents are approximate or anytime reasoning that can be implemented using Bayesian belief networks as in Guardian. Cognitive agents are traditional expert systems that can be implemented in ART-Ada to meet soft real-time requirements. During the initial design of cognitive agents, it is critical to consider the migration path that would allow initial deployment on ground-based workstations with eventual deployment on on-board processors. ART-Ada technology enables this migration while Lisp-based technologies make it difficult if not impossible. In addition to reactive and cognitive agents, a meta-level agent would be needed to coordinate multiple agents and to provide meta-level control

Women and training : a critical analysis : a thesis in partial fulfilment of the requirements for the degree of Master of Education at Massey University

From the point of view of its implications for women, this thesis critically investigates the official discourse of training in New Zealand in the late 1980s and 1990s, and explores its effects within the Polytechnic sector. The more theoretical side of the project involves discussing the changing meanings of 'training' and its entangled relationship with 'education'. I then conduct a thorough examination of the key statement of the new training discourse - Education for the Twenty-first Century - and give a twofold account of its structure and meaning. One part of this discourse is oriented towards social pluralism and equity, but this strand is undercut by the dominant 'human capital' perspective which ultimately holds little prospect for real advance in women's training and labour market situation. The more empirical dimension of the thesis involves a quantitative analysis of enrolment statistics, a discourse analysis of Polytechnic reports, and a questionnaire/interview schedule with senior staff within one Polytechnic. Overall, there is little evidence that government strategy and ideology are contested within Polytechnics, and whilst women's participation rates may be buoyant, the content of their training courses and the consequent image of what sort of life women make for themselves could be seen as surprisingly traditional. At all levels of the work, I try to highlight important indications of progress or contradiction, where they exist. But on the whole, the sobering thought emerging from the thesis is that there is still a long way to go for a properly non-sexist training agenda

Content-Aware DataGuides for Indexing Large Collections of XML Documents

XML is well-suited for modelling structured data with textual content. However, most indexing approaches perform structure and content matching independently, combining the retrieved path and keyword occurrences in a third step. This paper shows that retrieval in XML documents can be accelerated significantly by processing text and structure simultaneously during all retrieval phases. To this end, the Content-Aware DataGuide (CADG) enhances the wellknown DataGuide with (1) simultaneous keyword and path matching and (2) a precomputed content/structure join. Extensive experiments prove the CADG to be 50-90% faster than the DataGuide for various sorts of query and document, including difficult cases such as poorly structured queries and recursive document paths. A new query classification scheme identifies precise query characteristics with a predominant influence on the performance of the individual indices. The experiments show that the CADG is applicable to many real-world applications, in particular large collections of heterogeneously structured XML documents