10 pages in length. The ongoing advancements in computer technology leaves in its wake a virtual graveyard of outdated approaches and applications; what once was considered to be the best methodology only years previous is now looked upon as archaic and inefficient. The extent to which perpetual progress renders otherwise viable approaches and applications all but useless is both grand and far-reaching; that newer, more germane methodologies are constantly being developed speaks to the ever-present nature of reinvention within the computer industry, not the least of which includes system development life cycle. Bibliography lists 5 sources.
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looked upon as archaic and inefficient. The extent to which perpetual progress renders otherwise viable approaches and applications all but useless is both grand and far-reaching; that newer, more
germane methodologies are constantly being developed speaks to the ever-present nature of reinvention within the computer industry, not the least of which includes system development life cycle where many different
models allow for the vastness of application so pertinent in contemporary computer technology. "Developing an expert system involves combining efforts of the expert, knowledge engineer, system programmer and end
user. Collaboration and compromise are essential to the development of a successful expert system. Each participant may have discreet and independent methods of problem solving; developing an expert
system utilizing the know-how of each member of the team starts with identifying the problem to be solved. After singling out the specific character of the problem, an evaluation
of the suitability of the idea should be carried out. Next, the team needs to list resources needed to develop the system and match resources to the scope of
the project. The team then has to examine the projects definition and scope relative to an adequate amount of resources, and develop a specific definition and set of goals
for the project" (Ntuen, 1991, p. 33). II. SYSTEM DEVELOPMENT LIFE CYCLE MODELS Ever since computers entered into mans domain, programmers developed software by writing code as a means
by which to "solve a problem or automate a procedure" (Kay, 2002). A practical approach decades ago but wholly inadequate by todays standards, code writing for software development has
given way to myriad other ways to achieve the same objective within the hugely expanded size and complexity of computer systems. The inclusion of analysts, architects, users and testers