'Prototyping' is frequently cited as an effective alternative technique to traditional approaches for the development of systems. This paper reviews recent literature on the subject and categorizes prototyping techniques that appear to be widely used. A large number of tools have been used for prototyping and they are discussed in relation to the technique employed and other factors in the programming environment. Issues of programming methodology raised by prototypes are also discussed.
Effective information requirements analysis (IRA) is critical for the success of application systems. Literature has mainly defined the contingencies under which specific IRA methods are most effective for determining the content of information. This paper shows how IRA methods can supplement each other, instead of being viewed as alternatives. A process for combining IRA methods is developed. Resolving differences between Decision Analysis and Data Analysis by developing different kinds of Prototypes is presented as an integrated framework of IRA. Case studies illustrating this approach are included. The paper extends research in two areas: IRA and Prototyping
ARTIFICIAL intelligence, EXPERT systems (Computer science), INTERACTIVE computer systems, and KNOWLEDGE acquisition (Expert systems)
This paper describes trends in knowledge support environments — integrated interactive knowledge acquisition systems and expert system shells — that can provide a specialist community with tools supporting a wide range of knowledge processes. These systems extrapolate the trend from human knowledge engineering, through automated interviewing of the expert, to continuing on-line access to both knowledge acquisition and application processes. In knowledge support systems the distinctions between expert, knowledge engineer and client roles are deliberately blurred, and a diversity of knowledge processes and changing roles are supported within an entire interacting community. A prototype knowledge support system is described with examples of some of the knowledge acquisition and application tools provided. It is suggested that such systems provide a major knowledge-based technology with commercial implications and applications going beyond those currently envisioned for expert systems. [ABSTRACT FROM AUTHOR]
Information Systems Management. Winter93, Vol. 10 Issue 1, p7. 8p. 2 Diagrams, 2 Charts, 2 Graphs.
Describes the features of the accelerated application engineering approach with consideration given to how and when it can be used for maximum effectiveness. Online interaction with users; Life cycle; Tactical information planning; Analysis prototyping; Construction; Integration and implementation.
Information Systems Management. Spring93, Vol. 10 Issue 2, p39. 6p.
Information resources management and Structured techniques of electronic data processing
Clarifies some myths held by information systems (IS) developers regarding system development life cycle (SDLC), prototyping and mixed or hybrid methodologies. Four basic stages of SDLC and its variations; Rapid iterative development of prototype models, such as real working and usable systems; Common life cycle stages; Use of computer-aided software engineering (CASE) tools; Strategy and interaction tenets.