Journal of Software Engineering and Applications

Volume 4, Issue 11 (November 2011)

ISSN Print: 1945-3116   ISSN Online: 1945-3124

Google-based Impact Factor: 1.22  Citations  h5-index & Ranking

Defect Prediction Leads to High Quality Product

HTML  Download Download as PDF (Size: 163KB)  PP. 639-645  
DOI: 10.4236/jsea.2011.411075    5,874 Downloads   11,049 Views  Citations

Affiliation(s)

.

ABSTRACT

Defect prediction is relatively a new research area of software quality assurance. A project team always aims to produce a quality product with zero or few defects. Quality of a product is correlated with the number of defects as well as it is limited by time and by money. So, defect prediction is very important in the field of software quality and software reliability. This paper gives you a vivid description about software defect prediction. It describes the key areas of software defect prediction practice, and highlights some key open issues for the future.

Share and Cite:

N. Azeem and S. Usmani, "Defect Prediction Leads to High Quality Product," Journal of Software Engineering and Applications, Vol. 4 No. 11, 2011, pp. 639-645. doi: 10.4236/jsea.2011.411075.

Cited by

[1] Software Bug Number Prediction Based on Complex Network Theory and Panel Data Model
IEEE Transactions …, 2022
[2] A novel under sampling strategy for efficient software defect analysis of skewed distributed data
2020
[3] Majority Vote Feature Selection Algorithm in Software Fault Prediction.
2019
[4] Majority vote feature selection algorithm in software fault prediction
2019
[5] A Model Development For Software Defect Prediction: Using Feature Reduction Method
2018
[6] Software defect detection by using data mining based fuzzy logic
2018
[7] An Efficient Software Defect Analysis Using Correlation-Based Oversampling
Arabian Journal for Science and Engineering, 2018
[8] An efficient software defect analysis using correlation-based oversampling.
2018
[9] SOFTWARE QUALITY IMPROVEMENT THROUGH DEFECT PREDICTION
2016
[10] Software defect prediction using process metrics elasticsearch engine case study
2016
[11] Analytical Study of Data Mining Techniques for Software Quality Assurance
2015
[12] Applicability of Industrial Test and Evaluation Practices to Future Nuclear Weapons
INCOSE International Symposium, 2015
[13] COMPARISON OF CLASSIFICATION ALGORITHMS AND DESIGN OF A PERCENTAGE-SPLIT BASED METHOD FOR DATA CLASSIFICATION
2015
[14] Defect Forecasting In Software System-Mining Approach
PD Patel - ijecs.in, 2014
[15] CMS tool: calculating defect and change data from software project repositories
ACM SIGSOFT Software Engineering Notes, 2014
[16] PENINGKATAN KUALITAS KANTONG PLASTIK DENGAN METODE SEVEN STEPS MENGGUNAKAN OLD DAN NEW SEVEN TOOLS DI PT ASIA CAKRA CERIA PLASTIK SURAKARTA
2014
[17] A Survey of Defect Prediction on Software Leads to Quality Product
International Journal of Computer Science & Engineering Technology (IJCSET), 2014
[18] Análisis y control dinámico del encogimiento por relajación en seco de la fibra burdeos de tejido de punto
2014
[19] Call Graph Based Metrics To Evaluate Software Design Quality.
International Journal of Software Engineering & Its Applications, 2013
[20] Call graph based metrics to evaluate software design quality
2013
[21] Impact of Advertising on the Ill Effects of Using Refined Oil on General Public: With Special Reference to Obesity in Ghaziabad
Mangalmay Journal of …, 2012
[22] A Review on Models for Software Quality Enhancement from User's Perspective
[23] Tesis

Journals Menu
Follow SCIRP
Contact us
+1 323-425-8868
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.