Predicting defect priority based on neural networks

Lian Yu, Wei Tek Tsai, Wei Zhao, Fang Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Existing defect management tools provide little information on how important/urgent for developers to fix defects reported. Manually prioritizing defects is time-consuming and inconsistent among different people. To improve the efficiency of troubleshooting, the paper proposes to employ neural network techniques to predict the priorities of defects, adopt evolutionary training process to solve error problems associated with new features, and reuse data sets from similar software systems to speed up the convergence of training. A framework is built up for the model evaluation, and a series of experiments on five different software products of an international healthcare company to demonstrate the feasibility and effectiveness.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages356-367
Number of pages12
Volume6441 LNAI
EditionPART 2
DOIs
StatePublished - 2010
Event6th International Conference on Advanced Data Mining and Applications, ADMA 2010 - Chongqing, China
Duration: Nov 19 2010Nov 21 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6441 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Advanced Data Mining and Applications, ADMA 2010
CountryChina
CityChongqing
Period11/19/1011/21/10

Fingerprint

Defects
Neural Networks
Neural networks
Data Reuse
Model Evaluation
Inconsistent
Healthcare
Software System
Speedup
Predict
Software
Series
Demonstrate
Experiment
Industry
Experiments
Training

Keywords

  • artificial neural network
  • attribute dependency
  • convergence of training
  • Defect priority
  • evolutionary training

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yu, L., Tsai, W. T., Zhao, W., & Wu, F. (2010). Predicting defect priority based on neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6441 LNAI, pp. 356-367). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-17313-4_35

Predicting defect priority based on neural networks. / Yu, Lian; Tsai, Wei Tek; Zhao, Wei; Wu, Fang.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6441 LNAI PART 2. ed. 2010. p. 356-367 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, L, Tsai, WT, Zhao, W & Wu, F 2010, Predicting defect priority based on neural networks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6441 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6441 LNAI, pp. 356-367, 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, Chongqing, China, 11/19/10. https://doi.org/10.1007/978-3-642-17313-4_35
Yu L, Tsai WT, Zhao W, Wu F. Predicting defect priority based on neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6441 LNAI. 2010. p. 356-367. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-17313-4_35
Yu, Lian ; Tsai, Wei Tek ; Zhao, Wei ; Wu, Fang. / Predicting defect priority based on neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6441 LNAI PART 2. ed. 2010. pp. 356-367 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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