Modelling Execution Tracing Quality by Means of Type-1 Fuzzy Logic
Author(s) -
Tamás Galli,
Francisco Chiclana,
Jenny Carter,
Helge Janicke
Publication year - 2013
Publication title -
acta polytechnica hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 34
eISSN - 2064-2687
pISSN - 1785-8860
DOI - 10.12700/aph.10.08.2013.8.3
Subject(s) - tracing , computer science , fuzzy logic , quality (philosophy) , programming language , type (biology) , data mining , artificial intelligence , geology , philosophy , epistemology , paleontology
Execution tracing quality is a crucial characteristic which contributes to the overall software product quality though the present quality frameworks neglect this property. In the scope of this pilot study the authors introduce a process to create a model for describing execution tracing as a quality properly; moreover, the performance of four different models created is compared. The process and the models presented are capable of capturing subjective uncertainty which is an intrinsic part of the quality measurement process. In addition, the possibility of linking the presented models to software product quality frameworks is also illustrated.
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