CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Towards a Framework Empowering Software Testing Process for Better Quality

by Osama M .abu Elnasr, Magdy Z. Rashad, Mohammed A. Abo-elsoud, Gamal M. Aly
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 14
Year of Publication: 2014
Authors: Osama M .abu Elnasr, Magdy Z. Rashad, Mohammed A. Abo-elsoud, Gamal M. Aly
10.5120/16409-5729

Osama M .abu Elnasr, Magdy Z. Rashad, Mohammed A. Abo-elsoud, Gamal M. Aly . Towards a Framework Empowering Software Testing Process for Better Quality. International Journal of Computer Applications. 94, 14 ( May 2014), 9-16. DOI=10.5120/16409-5729

@article{ 10.5120/16409-5729,
author = { Osama M .abu Elnasr, Magdy Z. Rashad, Mohammed A. Abo-elsoud, Gamal M. Aly },
title = { Towards a Framework Empowering Software Testing Process for Better Quality },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 14 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number14/16409-5729/ },
doi = { 10.5120/16409-5729 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:17:37.540812+05:30
%A Osama M .abu Elnasr
%A Magdy Z. Rashad
%A Mohammed A. Abo-elsoud
%A Gamal M. Aly
%T Towards a Framework Empowering Software Testing Process for Better Quality
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 14
%P 9-16
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software development frameworks are considered the engine that leads the development activities within software development organizations, so the main interest in this research is establishing a framework to effectively lead the development activities to enhance the software quality. The proposed framework relates each development phase with its available artifacts, software metrics can be extracted from its artifacts and relates the test practices and QA best practices during the SDLC. It provides an organized approach to handle miscommunication and poor team management that usually lead to team confusion. It also provides a way to disengage the ambiguity between the software fault and failure through establishing a clear relationship between the both concepts and developing automated models to predict the software correctness and measure its reliability.

References
  1. Yu BengLeau, WooiKhong Loo Wai Yip Tham, and Soo Fun Tan, "Software Development Life Cycle AGILE vs. Traditional Approaches", International Conference on Information and Network Technology (ICINT), 2012, pp. 162-167.
  2. Shikhamaheshwari, Dinesh Ch. Jain, "A Comparative Analysis of Different types of Models in Software Development Life Cycle", International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, No. 5, 2012, pp. 285-290.
  3. Kirti Nagpal,Raman Chawla, "Improvement of Software Development Process: A new SDLC Model", International Journal of Latest Research in Science and Technology, Vol. 1, No. 3, 2012, pp. 217-224.
  4. T. Rajani Devi, "Importance of Testing in Software Development Life Cycle", International Journal of Scientific & Engineering Research, Vol. 3, No. 5, 2012, pp. 1-5.
  5. Jamie S. Gordon, Robert F. Roggio, " A Comparison of Software Testing Using the Object-Oriented Paradigm and Traditional Testing", Proceedings of the Conference for Information Systems Applied Research, San Antonio, Texas, USA , Vol. 6, No. 28, 2013.
  6. Rashdeep Kaur, Sunil Gulati," A framework for Analyzing Software Quality using Hierarchical Clustering", International Journal on Computer Science and Engineering (IJCSE), Vol. 3, No. 2, 2011, pp. 854-860.
  7. T. M. H koshgoftaar, P. Rebours and N. seliya," Software Quality analysis by combining multiple projects and learners", software Quality Journal, Vol. 17, 2009, pp. 25-49.
  8. S. Shafi,S. M. Hassan,A. Arshaq,M. J. Khan,S. Shamail, "Software Quality Prediction Techniques: A comparative Analysis ", 4th International Conference on Emerging Technologies (ICET),, 2008, pp. 242-246.
  9. Heena Kapila, Satwinder singh, "Analysis of CK Metrics to predict Software Fault-Proneness using Bayesian Inference", International Journal of Computer Applications (IJCA), Vol. 74, No. 2, 2013, pp. 1-4.
  10. Milad Hanna, Nahla El-haggar and Mostafa Sami. Article: Reducing Testing Effort using Automation", International Journal of Computer Applications, Vol. 81, No. 8, 2013, PP. 16-21.
  11. Hilda B. Klasky, "A study of Software Mertics", M. S. thesis, Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, New Jersey, 2003.
  12. Saddam H. Ahmed, Taysir Hassan A. Soliman , and Adel A. Sewisy, " A Hybrid Metrics Suite for Evaluating Object-Oriented Design", International Journal of Software Engineering, Vol. 6, No. 1, 2013, pp. 65-82.
  13. D. Jeyamala, S. Balamurugan, A. Jalila, K. Sabari Nathan, " Fault-prone Components Identification for Real Time Complex Systems Based on Criticality Analysis", International Journal of Computer Science and Informatics, Vol. 3, No. 2, 2013, pp. 17-23.
  14. Gurvinder Singh, Baljit Singh Saini , Neeraj Mohan, " A Systematic Literature Review on Software Fault Prediction based on Qualitative and Quantitative Factors", International Journal on Advanced Computer Theory and Engineering (IJACTE), Vol. 2, No. 2, 2013, pp. 47-50.
  15. Shaik Nafeez Umar et al, " Software Testing Defect Prediction Model -A Practical Approach", International Journal of Research in Engineering and Technology (IJRET), Vol. 2, No. 5, 2013, pp. 741-745.
  16. Menka Gupta, PratimaGautam, " A Novel Approach for Identifying Software Fault Prediction in mining", International Journal of Technological Exploratoration and Learning (IJTEL), Vol. 2, No. 6, 2013, pp. 341-343.
  17. Nirvikar Katiyar, Raghuraj Singh, " Prediction of Number of Faults And Time To Remove Errors", International Journal of Computational Engineering Research, Vol. 3, No. 4, 2013, pp. 57-65.
  18. S. Kim, T. Zimmermann, E. J. W. Jr. , and A. Zeller, " Predicting faults from cached history",29th International Conference on Software Engineering (ICSE), 2013, pp. 489-498.
  19. T. J. Ostrand, E. J. Weyuker, and R. M. Bell, " Predicting the location and number of faults in large software system", IEEE Transactions on Software Engineering, Vol. 31, No. 4, 2005, pp. 340-355.
  20. Anshu Bansal, Sudhir Pundir, " A Review On Approaches and Models Proposed for Software Reliability Testing", International Journal of Computer & Communication Technology, Vol. 4, No. 2, 2013, pp. 7-9.
  21. J Prabhu and N Malmurugan, "Article: A Model for GUI Automated Testing Framework in Software System", International Journal of Computer Applications, Vol. 64, NO. 15, 2013,PP. 16-20.
  22. Rakesh Roshan, RabinsPorwal, Chandra Mani Sharma, "Review of Search Techniques in Software Testing ", international Journal of Computer Applications, Vol. 51, No. 6, 2012, pp. 42-45.
  23. Dinesh Kumar Saini. , "Article: Software Testing for Embedded Systems", International Journal of Computer Applications, Vol. 43,No. 17,2012,PP. 1-6 .
  24. Anuja Jain M, Swarnalatha P, Muhammad Rukunuddin Ghalib and S Prabu. Article: Web-Based Automation Testing Framework", International Journal of Computer Applications, Vol. 45, No. 16, 2012, PP. 1-5.
  25. Anudeep Ediga, " High Accuracy Prediction Framework for Predicting Defect Prone Software Components", International Journal of Information and Computation Technology, Vol. 3,No. 10, 2013, pp. 985-992.
Index Terms

Computer Science
Information Sciences

Keywords

SDLC QA Static Analysis Testing Fault Failure Correctness Reliability.

Powered by PhDFocusTM