An Efficient Approach to Predict Software Defect - Review

Authors

  • Vanita Patni  Department of Computer Engineering, PIET, Baroda, Gujarat, India
  • Divyesh Joshi  Department of Computer Engineering, PIET, Baroda, Gujarat, India

Keywords:

Software defect prediction, graph-based clustering

Abstract

Faults in software systems are a major problem. A software fault is a defect that causes software failure in an executable product. Quality of a product is correlated with the number of defects as well as it is limited by time and by money. The possibility of early estimating the potential faultiness of software could help on planning, controlling and executing software development activities. So, defect prediction is very important in the field of software quality and software reliability. With the increase of the web software complexity, defect detection and prevention have become crucial processes in the software industry. It is applied to web based systems using graph-based clustering algorithms. An appropriate implementation of the graph-based clustering in defect prediction may facilitate to estimate defects in a web page source code.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-06-30

Issue

Volume 2, Issue 3, May-June-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vanita Patni, Divyesh Joshi, " An Efficient Approach to Predict Software Defect - Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.80-82, May-June-2016.