| Title |
Dirbtinių neuroninių tinklų taikymas parenkant testavimo metodą / |
| Translation of Title |
Artificial neural networks application in software testing selection method. |
| Authors |
Smilgytė, Kristina |
| Full Text |
|
| Pages |
80 |
| Keywords [eng] |
artificial neural networks ; software testing ; project manager ; experiments |
| Abstract [eng] |
The importance of software testing is growing as a concurrent part of software development. In order to improve the financial allocation of the software testing, software developers have to make a choice between automatic and manual testing methods. The solution related to the problematic choice of testing methods is presented in this work. The main concept of the method is to present the recommendation whether the automatic or manual testing method is better to use or whether their usage is simply adequate. The choice of the testing method is based on the application of the artificial neural networks. Experimental investigations on artificial neural networks structure selection and method evaluation showed that presented idea could be worth as substantiation of the choice selection. The results of the method should be considered as the recommendation since the accuracy depends on the data which was used for training. According to this reason this method is more suitable for those companies or customers which already have historical testing data of the project. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2011 |
