Expectation of the quality of a software varies from user to user. A fuzzy approach to measure the quality of a software is very appropriate so that it can deal with non-crisp aspects of the various parameters. In the proposed model, ordered intuitionistic fuzzy soft sets (OIFSS) and relative similarity measures of OIFSS are considered in the backdrop of fuzzy multiple criteria decision making (FMCDM) approach.
REFERENCES
1.
A. A.
Oettinger
, Communications of the ACM
9
, p. 546
(1966
).2.
A.
Sharma
, R.
Kumar
, and P.
Grover
, ACM SIGSOFT Software Engineering Notes
33
, 1
–10
(2008
).3.
I. O. for
Standardization
, Software Engineering–Product Quality: Quality model (ISO
, 2017
).4.
B. W.
Boehm
, J. R.
Brown
, and M.
Lipow
, “Quantitative evaluation of software quality
,” in Proceedings of the 2nd international conference on Software engineering
(IEEE Computer Society Press
, 1976
), pp. 592
–605
.5.
R. G.
Dromey
, IEEE Transactions on software engineering
21
, 146
–162
(1995
).6.
P. R.
Srivastava
and K.
Kumar
, “An approach towards software quality assessment,” in International Conference on Information Systems, Technology and Management
(Springer
, 2009
), pp. 150
–160
.7.
P. R.
Srivastava
, A. P.
Singh
, and K.
Vageesh
, in Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques
(IGI Global
, 2010
), pp. 200
–219
.8.
S.
Zionts
, Interfaces
9
, 94
–101
(1979
).9.
D. R.
Georgiadis
, T. A.
Mazzuchi
, and S.
Sarkani
, Systems Engineering
16
, 287
–303
(2013
).10.
L. A.
Zadeh
, Information and Control
8
, 338
–353
(1965
).11.
H.-J.
Zimmermann
, in Fuzzy Set Theoryand Its Applications
(Springer
, 1996
), pp. 203
–240
.12.
13.
J. S.
Challa
, A.
Paul
, Y.
Dada
, V.
Nerella
, P. R.
Srivastava
, and A. P.
Singh
, JIPS
7
, 473
–518
(2011
).14.
G.
Büyüközkan
, C.
Kahraman
, and D.
Ruan
, International Journal of General Systems
33
, 259
–280
(2004
).15.
16.
K. T.
Atanassov
, Fuzzy sets and Systems
20
, 87
–96
(1986
).17.
K.
Atanassov
and G.
Gargov
, Fuzzy sets and systems
31
, 343
–349
(1989
).18.
K. T.
Atanassov
, (1989
).19.
K. T.
Atanassov
, Algorithms
10
, p. 106
(2017
).20.
S. M.
Mousavi
, B.
Vahdani
, and S. S.
Behzadi
, Iranian Journal of Fuzzy Systems
13
, 45
–65
(2016
).21.
22.
23.
S. J.
Kalayathankal
, G. S.
Singh
, and P.
Vinodkumar
, Journal of fuzzy mathematics
18
, 991
–998
(2010
).24.
25.
S. J.
Kalayathankal
, G. S.
Singh
, and P.
Vinodkumar
, Advances in fuzzy mathematics
4
, 101
–106
(2009
).26.
S. J.
Kalayathankal
and G. Suresh
Singh
, Iranian Journal of Fuzzy Systems
9
, 47
–60
(2012
).27.
S. J.
Kalayathankal
and G. S.
Singh
, Mathematics and Computers in Simulation
80
, 887
–893
(2010
).28.
H.-W.
Liu
and G.-J.
Wang
, European Journal of Operational Research
179
, 220
–233
(2007
).29.
30.
31.
P.
Naur
and B.
Randell
, “Software engineering,” in Conference Report
(NATO Science Committee
, Garmisch, Germany
, 1968
).
This content is only available via PDF.
© 2019 Author(s).
2019
Author(s)
You do not currently have access to this content.
