Skip to main content

Predicting Defects in Software Using Grammar-Guided Genetic Programming.

Tsakonas, A. and Dounias, G., 2008. Predicting Defects in Software Using Grammar-Guided Genetic Programming. In: Artificial Intelligence: Theories, Models and Applications: 5th Hellenic Conference on AI, 2-4 October 2008, Syros, Greece, 413-418.

Full text available as:

Tsakonas_Dounias_SETN08_Revised2.pdf - Accepted Version


Official URL:

DOI: 10.1007/978-3-540-87881-0_42


The knowledge of the software quality can allow an organization to allocate the needed resources for the code maintenance. Maintaining the software is considered as a high cost factor for most organizations. Consequently, there is need to assess software modules in respect of defects that will arise. Addressing the prediction of software defects by means of computational intelligence has only recently become evident. In this paper, we investigate the capability of the genetic programming approach for producing solution composed of decision rules. We applied the model into four software engineering databases of NASA. The overall performance of this system denotes its competitiveness as compared with past methodologies, and is shown capable of producing simple, highly accurate, tangible rules.

Item Type:Conference or Workshop Item (Paper)
Series Name:Lecture Notes in Computer Science
Uncontrolled Keywords:Software engineering, defect prediction, genetic programming.
Group:Faculty of Science & Technology
ID Code:17873
Deposited By: Mrs Jean Harris
Deposited On:25 May 2011 14:03
Last Modified:14 Mar 2022 13:38


Downloads per month over past year

More statistics for this item...
Repository Staff Only -