• Ashutosh Pawar
• Amol Kadam
• Shashank Joshi

Bug analysis and eradication is vital process in software enhancement. Numerous small overlooked bugs give rise to untraceable software failures. Bug triage is an vital phase in software correction. In this phase major objective is to assign a programmer to new defect for future analysis. Today major challenge faced by IT firms is huge cost and time on bug analysis manually. Currently to overcome this challenge two methodologies exists with automated bug analysis namely text classification and binary classification. This article presents model survey on Bug triage domain finding issues and techniques that are currently present and their short coming. Proposed bug triage is handled with data reduction which is outcome of feature extraction and example selection algorithm. Survey has been presented on ten articles and problem definition is been define. The research is been implemented for finite dataset and evaluated on efficiency parameters. Graphical analysis present effectiveness of proposed system

Data Reduction, Bug Analysis, Bug Removal, Bug Traige, SDLC

"A Effective Model Approach for Software bug Triage using Data reduction Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.25-28, January-2018, Available :http://www.jetir.org/papers/JETIR1801006.pdf

"A Effective Model Approach for Software bug Triage using Data reduction Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp25-28, January-2018, Available at : http://www.jetir.org/papers/JETIR1801006.pdf