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SOFTWARE QUALITY EVALUATION USING FUZZY THEORY


MARA HAJDU-MACELARU
Technical University Cluj-Napoca, North University Center, Faculty of Sciences, Department of Mathematics and Informatics, 76 Victoriei 430122 Baia-Mare Romania, e-mail: mara.macelaru@ubm.ro

Issue:

SSRSMI, Number 1, Volume XXIII

Section:

Volume 23, Number 1

Abstract:

The software quality evaluation is still not a fully resolved problem in Software Engineering. It is known that software quality depends upon several quality attributes such as reliability, modifiability, understandability, testability, usability, portability, and so on. Several authors and international standards have tried to reach an agreement on their definition over the years and provide a standard and accurate one. Due to the complexity of software systems, it is often difficult to evaluate the overall quality of their underlying software components. A way for evaluation is to use software metrics as quantitative predictors when evaluating the quality attributes. There are several metrics based on statistical methods, similar to those used for product inspection and quality assurance in manufacturing, that have been investigated during time by Software Engineering. Some authors have started to use Fuzzy Theory in software assessment and evaluation. And it seems that its usage improves the evaluation of the software quality

Keywords:

Software Engineering, Fuzzy Theory.

Code [ID]:

SSRSMI201323V23S01A0006 [0003823]

DOI:

Full paper:

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