Software development methodology is a formalized approach that is used to plan and manage the process of developing a software system. Since there are many software development methodologies, one of the challenges faced by software developers is to decide which methodology to apply in a software project. This paper presents the modeling and development of a prototype expert system that helps so...

Pathfinder is an expert system that assists surgical pathologists with the diagnosis of lymph-node diseases. The program is one of a growing number of normative expert systems that use probability and decision theory to acquire, represent, manipulate, and explain uncertain medical knowledge. In this article, we describe Pathfinder and our research in uncertain-reasoning paradigms that was stimu...

SUMMARY The purpose of this research was to assess the feasibility of developing an expert systems-based project management decision aid to enhance the performance of NASA project managers. The research effort included extensive literature reviews in the areas of project management, project management decision aiding, expert systems technology, and human-computer interface engineering. Literatu...

As the widespread use and company dependency on Expert Systems increase, so does the need to assess their value and to ensure implementation success. This study identified and empirically tested eight major variables proposed in the literature as determinants of ES success, in this case measured in terms of user satisfaction. IBM’s Corporate Manufacturing Expert Systems Project Center collected...

Efficient applications of expert systems to project risk management problems are seldom, if not unusual. In this paper we overcome this lack by using the probabilistic expert system shell SPIRIT. The rule-based shell’s power in conditioning, inference and reasoning under incomplete information will work well on risk estimation and classification. A key characteristic of SPIRIT is the possibilit...

Early and accurate memory size estimation of Electronic Control Units (ECUs), which are dedicated embedded systems providing major software functionalities, is essential for automotive industry. Usually, experts using their expert judgments perform the estimations. Software functional size measures, which attempt at measuring the size by capturing the amount of functionality, have become popula...

Abstract: The state has multiple interests in the quality of bail decisions. Previous papers (Hassett, 1991, 1990) explored the issue of whether computer technology, specifically expert systems technology, could contribute to improving the quality of pretrial release / detention decisions. Subsequently a prototype expert system which makes bail recommendations was developed using the XiPlus exp...

The paper describes a prototype decision support/expert system for contractor prequalification, CP-DSS. The system firstly evaluates contractors' capabilities according to the project specific criteria. It then identifies any risk that may be caused by contractors. Finally, contractors are appraised according to their likely performance, management capability, reputation, resources, progress, c...

In the artificial intelligence field, knowledge acquisition and reasoning are important areas for intelligent systems, especially knowledge base systems and expert systems. Knowledge acquisition is not an easy task since transferring expert knowledge required different methodologies and techniques based on expert domain, type of knowledge, knowledge engineer and expert domain. The success of th...

Many universities now teach courses in expert systems. In these courses students study the architecture of an expert system, knowledge acquisition techniques, methods of implementing expert systems and verification and validation techniques. A ma jot component of any such course is a class project consisting of the design and implementation of an expert system. This paper discusses a number of ...