Title :
Generative Inspection: An Intelligent Model to Detect and Remove Software Defects
Author :
Hashemitaba, Navid ; Ow, Siew Hock
Author_Institution :
Dept. of Software Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
Software inspection covers the defects related to software tests Incompetence. The proposed model of this research performs defect removal actions as an important duty of inspection, as well as, using the capabilities of collaborative and knowledge base systems. The process improvement is continuously in progress by creating swap iteration in inspection model kernel. Making and modifying some rules related to defects, adds intelligence and learning features to the model. In order to validate the model, it is implemented in a real software inspection project. The varieties of detected and removed defects show the potential performance of the model and make the process reliable.
Keywords :
knowledge based systems; learning (artificial intelligence); program debugging; program testing; collaborative system; generative inspection; inspection model kernel; intelligent model; knowledge base system; learning feature; software defect detection; software defect removal; software inspection; software test incompetence; swap iteration; Collaboration; Computational modeling; Computer science; Inspection; Knowledge based systems; Software; Software engineering; generative inspection; intelligent model; knowledge base; software inspection;
Conference_Titel :
Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-0886-1
DOI :
10.1109/ISMS.2012.48