Decision Sciences Journal 32(1) Index


Decision Sciences Journal
Volume 32, Number 1
Winter 2001

Evaluation of Embedded Intelligent Real-time Systems

Martha Grabowski
Department of Business, Le Moyne College, Syracuse, NY 13214 and Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, email: grabowsk@mail.lemoyne.edu

Stephen D. Sanborn
General Electric Corporate Research & Development Center, Schenectady, NY 12302

ABSTRACT. Over the past two decades, questions have surfaced about the effectiveness and contribution of intelligent systems to decision makers in a variety of settings. This paper focuses on the evaluation challenges associated with intelligent real-time software systems that are embedded in larger host systems. With the proliferation of such systems in operational settings such as aerospace, medical, manufacturing, and transportation systems, increased attention to evaluations of such systems, and to resulting software safety, is warranted. This paper describes one such evaluation and proposes a set of evaluation criteria for embedded intelligent real-time systems (EIRTS). Implications of the evaluation and the evaluation criteria are discussed.

Subject Areas: Decision Support Systems, Embedded Systems, Evaluation, Expert Systems, Intelligent Systems, Knowledge-based Systems, Performance Evaluation, Real-time Systems, Ship Navigation, Software Performance, and Technology Impact.

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