Open Access Open Access  Restricted Access Subscription or Fee Access

Software Testing and Assessment Measure for Fuzzy Logic

Seema Pillai, Ravi D., T.K.P. Rajagopal, Vijaya Kumar S.


Software testing is an important part of software development which is performed to support and enhance reliability and quality of software. It consists of estimating testing effort, selecting suitable test team, designing test cases, executing the software with those test cases and examining the results produced by these methods. This paper proposes fuzzy based approach for finding out the complexity weight based on requirement. Based on the weight, this paper computes the software complexity point. Fuzzy logic uses membership functions to include linguistic variables and quantifiers. Fuzzy logic could be used in project estimation purposes efficiently by gathering size data on previously developed programs. The advantage of this model is that it is able to estimate the software complexity which in turn predicts the software requirement stability during the software development cycle.

Keywords: Software testing, fuzzy logic, software assessment, requirement stability, dependability of software testing

Cite this Article
Seema Pillai, Ravi D, Rajagopal TKP, et al. Software Testing and Assessment Measure for Fuzzy Logic. Journal of Software Engineering Tools & Technology Trends. 2016; 3(2): 7–14p.

Full Text:



Zhitao He, Haihua Yan, Chao Liu, et al. A Formal Definition of Software Testing Based on Fuzzy Measure. Fourth World Congress on Software Engineering. 2013.

Manoj Kumar, Arun Sharma, Rajesh Kumar. Fuzzy Entropy- Based Framework for Multi-Faceted Test Case Classification and Selection: An Empirical Study. IET Software. 2014; 8(3): 103–112p.

Xiaojing Wang, Garcia Angel F, Martine Ceberio. Interval-based Algorithms to Extract Fuzzy Measures for Software Quality Assessment. IEEE Trans. 2012.

Aleksander Dimov, Sasikumar Punnekkat. Fuzzy Reliability Model for Component-Based Software System. EUROMICRO Conference on Software engineering and Advanced Applications. 2010.

Mahdi Sharifi, Azizah Abdul Manaf, Ali Memariani, et al. Consensus-Based Service Selection Using Crowd Sourcing Under Fuzzy Preferences of Users. IEEE International Conference on Services Computing. 2014.

IEEE Standard Glossary of Software Engineering Terminology. IEEE; 1990.

Voas Jeffrey M, Miller Keith W. Improving the Software Development Process using Testability Research. NASA-Langley Research Center, IEEE Software. 1992; 114–121p.

ISO 9126. International Organization for Standardization.


  • There are currently no refbacks.

This site has been shifted to