An expert simulator for allocating the quality assurance effort in software development
Article Abstract:
Increasingly software quality assurance (QA) is being recognized as a critical factor in the successful development of software systems. However, because the utilization of QA tools and techniques adds significantly to the cost of developing software, the cost-effectiveness of QA has been a significant concern to the software quality manager. As of yet this concern has not been adequately addressed in the literature. The objective of this research effort is to develop an expert/simulator to support the QA effort allocation decision. The expert system module drives QA effort allocation schemes, feeds them into the simulation model for testing, and uses the feedback from the simulation results to improve upon the efficiency of the QA effort distribution. In a case study involving a NASA software project, the model accurately replicated the project's dynamic behavior. The expert/simulator was then capable of deriving a more cost effective QA policy that achieved a 26 percent reduction in total project cost. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1991
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A rule-based simulator for modeling Just-in-Time manufacturing systems (JITSAI)
Article Abstract:
The design details of a new rule-oriented simulator for modeling the production related issues in a Just-in-time (JIT) system are discussed in this paper. The user interacts with the simulator and provides input data related to a JIT system and the simulation experiment. The simulation model is generated automatically by the computer using the rules selected from a domain-specific rulebase. The machine utilization, system throughput, number and type of kanbans, and average WIP levels are some of the results generated by the simulator. The design was originally implemented using LISP on an IBM 4381 computer and subsequently extended to Macintosh and Sun workstations. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1990
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