Auto-BugTriager for Software Development and Maintenance in Domain Specific Environment

Authors

  • K Reshma Revathi INFO Institute of Engineering
  • S Kirubakaran INFO Institute of Engineering
  • R Parimala INFO Institute of Engineering
  • K Sree Poornalinga INFO Institute of Engineering
  • K Maheswari SNS College of Technology, Coimbatore, Tamil Nadu, India

Keywords:

Manual Triaging, Data Mining Techniques, Text Classification, Data Reduction, Domain Specific Environment

Abstract

The term bug triage refers to the process of assigning the suitable developer to fix the new incoming bugs which is considered to be one of the tedious process in software testing world than fixing a particular bug. The amount of new incoming bugs increases day-by-day, therefore manual bug triage becomes a tedious and imprecise for practical use thus increasing both the cost of development and time. In order to systematize the bug triage process, a wide number of data mining techniques can be used. Text Categorization is one of the effective method that helps in automating the system, where data reduction lies as one of the major difficulty identified in automating the bug triage process using text classification. Data reduction problem drops the exactness of automated bug triage prediction. This paper introduce a newly proposed framework entitled as Auto-BugTriager that aims to eliminate the data reduction problem better in range. The Auto-BugTriager framework is made up of three phase’s viz. InfoZie, DataReduction and NBPredictor which process in an organized manner in order to predict the list of expert developer who is capable of fixing the particular bug in short time. As per the experimental and theoretical analysis, the proposed system provides 92% of accuracy in predicting the correct developer to fix a bug. Therefore, it is strongly believed that the industry adopting this framework will be improved with software productivity and quality.

References

Al-Haj, Ali. "Combined DWT-DCT digital image watermarking." Journal of computer science 3, no. 9 (2007): 740.

Alexander Sverdlov, “Secure DCT-SVD Domain Image Watermarking: Embedding Data in All Frequencies”, Proceedings of IEEE Region 10 Technical Conference on Convergent Technologies for the Asia-Pacific, Bangalore, India, October 14-17, 2003.

Anthony T.S.Ho et.al, “A Robust Digital Image-in-Image Watermarking Algorithm Using the Fast Hadamard Transform”, Springer, 2011.

Chaturvedi, Navnidhi, and S. J. Basha. "Comparison of Digital Image watermarking Methods DWT & DWT-DCT on the Basis of PSNR." image 2 (2012).

D. Gabor, “Theory of communication,” Journal of Institution of Electrical Engineers, vol. 93, pp. 429–457, 1946.

E. Simoncelli, W. Freeman, E. Adelson, and D. Heeger, “Shiftable multiscale transforms,” IEEE Transactions on Information Theory, vol. 38,no. 2, pp. 587–607, 1992.

Fang Li, “Salt and Pepper Noise Removal by Adaptive Median Filter and Minimal Surface Inpainting”, Image and Signal Processing, 2009. CISP '09. 2nd International Congress on, 2009

J. Ilonen, J.-K. Kamarainen, P. Paalanen, M. Hamouz, J. Kittler, and H. K¨ alvi¨ ainen, “Image feature localization by multiple hypothesis testing of Gabor features,” IEEE Trans. on Image Processing, vol. 17, no. 3, pp. 311–325, 2008.

J.-K. Kamarainen, V. Kyrki, and H. K ¨ alvi¨ ainen, “Invariance properties of Gabor filter based features - overview and applications,” IEEE Trans. on Image Processing, vol. 15, no. 5, pp. 1088–1099, 2006.

J. Sampo, J.-K. Kamarainen, M. Heili ¨ o, and H. K¨ alvi¨ ainen, “Measuring translation shiftability of frames,” Computers & Mathematics with Applications, vol. 52, no. 6-7, pp. 1089–1098, 2006.

Kashyap, Nikita, and G. R. Sinha. "Image watermarking using 3-level discrete wavelet transform (DWT)." International Journal of Modern Education and Computer Science (IJMECS) 4.3 (2012): 50.

Lu, Chun-Shien, and H-YM Liao. "Multipurpose watermarking for image authentication and protection." Image Processing, IEEE Transactions on 10, no. 10 (2001): 1579-1592.

Mansouri, A., A. MahmoudiAznaveh, and F. Torkamani Azar. "SVD-based digital image watermarking using complex wavelet transform." Sadhana 34, no. 3 (2009): 393-406.

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Published

2025-11-11

How to Cite

[1]
K. Reshma Revathi, S. Kirubakaran, R. Parimala, K. Sree Poornalinga, and K. Maheswari, “Auto-BugTriager for Software Development and Maintenance in Domain Specific Environment”, Int. J. Comp. Sci. Eng., vol. 4, no. 6, pp. 44–49, Nov. 2025.

Issue

Vol. 4 No. 6 (2016): IJCSE June Edition

Section

Review Article

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