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Northrop, L.M., Clements, P.C., Bachmann, F., Bergey, J., Chastek, G., Cohen, S., Donohoe, P., Jones, L., Krut, R., Little, R., McGregor, J. and O’Brien, L. (2009) A Framework for Software Product Line Practice, Version 5.0.
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TITLE:
An Application of Paraconsistent Annotated Logic for Design Software Testing Strategies
AUTHORS:
Marcos Ribeiro do Nascimento, Luiz Alberto Vieira Dias, Joao Inacio Da Silva Filho
KEYWORDS:
Paraconsistent Logic, Design Testing Strategies, Software Testability, Paraconsistent Decision Making Model
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.7 No.5,
May
13,
2014
ABSTRACT: Nowadays, application model systems for decision-making based on
non-classical logic such as Paraconsistent Logic are used successfully in the
treatment of uncertainties. The method presented in this paper is based on
the fundamental concepts of Paraconsistent Annotated Logic with annotation of 2
values (PAL2v). In this study, two algorithms based on PAL2v are presented gradually, to extract the effects of the contradiction in signals of information
from a database of uncertain knowledge. The Paraconsistent Extractors Algorithms
of Contradiction Effect-Para Extrctr is applied to filters of
networks of analyses (PANets) of signal information, where uncertain and
contradictory signals may be found. Software test case scenarios are
subordinated to an application model of Paraconsistent decision-making, which
provides an analysis using Paraconsistent Logic in the treatment of
uncertainties for design software testing strategies. This quality-quantity
criterion to evaluate the software product quality is based on the
characteristics of software testability analysis. The Para consistent
reasoning application model system presented in this case study, reveals itself
to be more efficient than the traditional methods because it has the potential
to offer an appropriate treatment to different originally contradicting source
information.