The Share 709 System: Programming and Modification

Greenwald, Irwin D.; Kane, Maureen

doi:10.1145/320964.320967

Cited by 8 publications

(1 citation statement)

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“…In order to realise the creation of an LSIE, new approaches are required in order to account for scalability limitations of existing IE methods (from technical, security/privacy, management and usability perspectives). To solve these scalability problems, we propose the concept of a MacroIE (The word macro is used here as it is in the wider field of computer science-to define an input pattern that will create a larger, more complex output [41])-a single LSIE that is composed from a set of smaller IEs, rather than existing as a monolithic whole. This means each element of a MacroIE is autonomous, distributed and self-governing.…”

Section: Macroie: Realising An Lsie Through Compositionmentioning

confidence: 99%

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

et al. 2013

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In this paper, we introduce the concept of a Large-Scale Intelligent Environment (LSIE) and provide an introduction to the use of bigraphs as a formal method for description and modelling. We then propose our MacroIE model as a solution to the LSIE problem and describe how that model may be implemented to achieve a continuity-of-experience to end users as they travel from place-to-place (a technology we call FollowMe). Our initial experiments with these implementations are presented, providing some valuable insights and promise for future refinement towards real-world deployment

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Section: Macroie: Realising An Lsie Through Compositionmentioning

confidence: 99%

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

et al. 2013

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System Debugging: A Broad Perspective

Freeman

Riedl

Ward³

2002

Encyclopedia of Software Engineering

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System debugging is the diagnostic and repair work that begins after a system fails, and it concludes with successful repair and testing of the product. The knowledge and skills of system debuggers are varied. Accordingly, this article will cover a diversity of topics, both psychological and technological, including traits of expert debuggers, mental representations used by experts for understanding systems, strategies used in debugging, social factors impacting debugging effectiveness, the management of debugging expertise, and debugging technologies and tools. This article is organized in the following manner. After a brief discussion of the history of debugging, a five‐stage model of debugging is described, consisting of familiarization, stabilization, localization, correction, and validation. Several of these stages are used to organize the two following sections of this article, which concern the psychology and technology of debugging. This article concludes with a discussion of management issues relevant to system debugging.

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Introduction

Štuikys

Damaševičius

2012

Advanced Information and Knowledge Processing

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The Share 709 System: Programming and Modification

Cited by 8 publications

References 0 publications

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

System Debugging: A Broad Perspective

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