DocumentCode :
3076449
Title :
Bug Mining Model Based on Event-Component Similarity to Discover Similar and Duplicate GUI Bugs
Author :
Nagwani, Naresh Kumar ; Singh, Pradeep
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Raipur
fYear :
2009
fDate :
6-7 March 2009
Firstpage :
1388
Lastpage :
1392
Abstract :
All most all of the bugs related to graphical user interface (GUI) module of applications and are described in terms of events associated with GUI components. In this paper, a bug mining model for discovering duplicate and similar GUI bugs is presented and approach for detecting the similar and duplicate GUI bugs is described. Resolution of similar and duplicate bugs are almost identical, so if similar and duplicates are identified it will optimize the time for fixing reported GUI bugs and it can also help in achieving the faster development. A GUI bug can be transformed into a sequence of events, components and expected implementation requirements for each GUI event. This transformation is used in this paper to discover the similar and duplicate GUI bugs. First all the GUI bugs are transformed into events, components and requirements sequence, then these sequences are pair wise matched and common subsequence is generated which will indicate the similarity for the GUI bugs.
Keywords :
graphical user interfaces; program debugging; GUI bugs similarity; GUI components; GUI event; bug mining model; duplicate GUI bugs; event-component similarity; graphical user interface module; Application software; Computer bugs; Databases; Documentation; Graphical user interfaces; Image retrieval; Information retrieval; Software performance; Terminology; Testing; duplicate bugs; event component similarity; similar bugs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location :
Patiala
Print_ISBN :
978-1-4244-2927-1
Electronic_ISBN :
978-1-4244-2928-8
Type :
conf
DOI :
10.1109/IADCC.2009.4809219
Filename :
4809219
Link To Document :
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