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6.3.1 Properties of a High Quality Informal Requirements Document
Author(s) -
Schneider Richard E.,
Buede Dennis M.
Publication year - 2000
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2000.tb00397.x
Subject(s) - goodness of fit , set (abstract data type) , quality (philosophy) , computer science , selection (genetic algorithm) , process (computing) , work (physics) , data mining , artificial intelligence , machine learning , engineering , programming language , mechanical engineering , philosophy , epistemology
One way to improve the quality of a system level informal requirements document is to check it for goodness properties and fix any checking errors. Several lists of goodness properties are available but they differ by author. And a sound basis for selecting goodness properties is seldom provided. We propose a set of goodness properties which were developed from a larger list of properties using selection criteria as this sound basis. In previous work we established a set of criteria for selecting which properties represent high quality in an informal requirements document. This paper extends that work by applying the selection criteria to a large set of candidate properties. Through a process of refining, combining, splitting, and discarding of candidate properties using the selection criteria, we arrived at the limited set of high quality properties. This paper describes that process.