Assessing software reliability using genetic algorithms
Other Title(s)
تقييم موثوقية البرمجيات باستخدام الخوارزميات الجينية
Joint Authors
Source
The Journal of Engineering Research
Issue
Vol. 16, Issue 1 (30 Jun. 2019), pp.11-17, 7 p.
Publisher
Sultan Qaboos University College of Engineering
Publication Date
2019-06-30
Country of Publication
Oman
No. of Pages
7
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
The role of software reliability and quality improvement is becoming more important than any other issues related to software development.
To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy logic, and other evolutionary algorithms.
A genetic algorithm has been explored for predicting software reliability.
One of the important aspects of software quality is called software reliability, thus, software engineering is of a great place in the software industry.
To increase the software reliability, it is mandatory that we must design a model that predicts the fault and error in the software program at early stages, rectify them and then increase the functionality of the program within a minimum time and in a low cost.
There exist numerous algorithms that predict software errors such as the Genetic Algorithm, which has a very high ability to predict software bugs, failure and errors rather than any other algorithm.
The main purpose of this paper is to predict software errors with so precise, less time-consuming and cost-effective methodology.
The outcome of this research paper is showing that the rates of applied methods and strategies are more than 96 percent in ideal conditions.
American Psychological Association (APA)
Jain, R.& Sharma, A.. 2019. Assessing software reliability using genetic algorithms. The Journal of Engineering Research،Vol. 16, no. 1, pp.11-17.
https://search.emarefa.net/detail/BIM-889008
Modern Language Association (MLA)
Jain, R.& Sharma, A.. Assessing software reliability using genetic algorithms. The Journal of Engineering Research Vol. 16, no. 1 (2019), pp.11-17.
https://search.emarefa.net/detail/BIM-889008
American Medical Association (AMA)
Jain, R.& Sharma, A.. Assessing software reliability using genetic algorithms. The Journal of Engineering Research. 2019. Vol. 16, no. 1, pp.11-17.
https://search.emarefa.net/detail/BIM-889008
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 17
Record ID
BIM-889008