An empirical study of test effort estimation based on bat algorithm
by Praveen Ranjan Srivastava; Amit Bidwai; Anam Khan; Kritika Rathore; Rohit Sharma; Xin She Yang
International Journal of Bio-Inspired Computation (IJBIC), Vol. 6, No. 1, 2014

Abstract: The process of actually predicting efforts for software testing phase is a complex task. There are many factors affect test effort estimation, including productivity of the test team, strategy chosen for testing, size and complexity of the system, technical factors, expected quality and others. Several studies have been done for developing test effort estimation models but to some extent, most of these models result in erroneous effort estimation. Thus, there is a strong need to optimise the test effort estimation. In this paper, we proposed a model using the meta-heuristic bat algorithm to estimate the test effort. The proposed model is then used to optimise the effort by iteratively improving the solutions. Results show that our estimations is closer to the actual efforts and is thus more accurate than other methods.

Online publication date: Sat, 27-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com