Open AccessA Fuzzy Approach for Integrated Measure of Object-Oriented Software Testability
Author(s) -
Vandana Gupta,
K. K. Aggarwal,
Yogesh Singh
Publication year - 2005
Publication title -
journal of computer sciences/journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 28
eISSN - 1552-6607
pISSN - 1549-3636
DOI - 10.3844/jcssp.2005.276.282
Subject(s) - computer science , measure (data warehouse) , testability , fuzzy logic , software , object oriented programming , software engineering , data mining , reliability engineering , real time computing , programming language , artificial intelligence , engineering
For large software systems, testing phase seems to have profound effect on the overall
acceptability and quality of the final product. The success of this activity can be judged by measuring
the testability of the software. A good measure for testability can better manage the testing effort and
time. Different Object Oriented Metrics are used in measurement of object-oriented testability but none
of them is alone sufficient to give an overall reflection of software testability. Thus an integrated
measure considering the effect of all these measures is required to well define the testability. The paper
combines OO software metric values into a single overall value (called Testability Index) that can be
used to calculate the testability of a class. The approach uses fuzzy techniques and concepts
(fuzzification of crisp metric values, inference and aggregation, defuzzification of fuzzy output). We
include empirical data of testing time of 25 different Java classes, which proves that individual metric
values are not sufficient to arrive at the testability of a class and validates the testability index as a
good integrated measure for arriving at the testability of the class.