Advertisement

Cost Evaluation Framework for Fault Prediction Technique in Testing

  • Aishwaryarani BeheraEmail author
  • Shrayas Das
  • Abhishek Ray
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 37)

Abstract

In the current situation, service-oriented architecture is received by the greater part of the organization, which is a gathering of inexactly coupled administration. In this paper, we have proposed a versatile cost assessment structure that joins cost drivers for different blame expulsion stages and plays out a money-saving advantage examination for testing and blame forecast. Our cost assessment structure considers more sensible situation where the undetected shortcomings are followed in all the later testing stages and the relating flaw evacuation cost is assessed in view of the association with particular measurements. Here we have focused on two of the most pertinent research questions with respect to testing. To start with, regardless of whether blame forecast could financially help in decreasing programming improvement cost, for a specific task, we pick a blame forecast system for general enhanced execution. We have utilized the proposed structure to examine the convenience of different blame expectation methods in testing. The examination comprised execution assessment of two noteworthy blame expectation methods, that is, straight relapse and coordination relapse on two distinct adaptations of eBay web administrations. Here we have discovered blame expectation valuable for the ventures with the level of broken modules not as much as a specific edge.

Keywords

Cost analysis Linear regression Logistic regression Software metrics Testing WSDL 

References

  1. 1.
    M. Ruth, S. Tu, A safe regression test selection technique for web services, in Internet and web application and services, ICIW’07. Second International Conference on, IEEE, 2007 (2007), pp 47–47Google Scholar
  2. 2.
    K.Ashok, G.P.Kumar, Advances in recent technologies in communication and computing, ARTCom, 09, in International Conference on, IEEE, 2009 (2009), pp 590–592Google Scholar
  3. 3.
    T.A. Khan, R. Heckel, A methodology for model-based regression testing of web services: a proposal for multiple-objective particle swarm optimization, in Academic and Industrial Conference––practice and Research techniques, TAIC PART’09, IEEE 2009 (2009), pp 123–124Google Scholar
  4. 4.
    Abbas Tarhini, Hacne Fouchal, N. M. Regression testing web services-based applications, in Proceedings of the IEEE international conference computer systems and applications (March 8, 2006), pp. 163–170Google Scholar
  5. 5.
    A. Chaturvedi, A. Gupta, A tool supported approach to perform efficient regression testing of web services, in IEEE international symposium on the maintenance and evolution of service-oriented and cloud-based systems (2013), pp. 50–55Google Scholar
  6. 6.
    A. Chaturvedi, Reducing cost in regression testing of web services, in 2012 CSI sixth international conference software engineering (2012), pp. 1–9Google Scholar
  7. 7.
    B. Sotomayor, L.C. Conway, Globus toolkit 4: programming java services (Morgan Kaufmann, August 8, 2012)Google Scholar
  8. 8.
    L.N. de Castro, Fundamentals of natural computing: an overview. Physics of Life Reviews 4, 1–36 (2007)CrossRefGoogle Scholar
  9. 9.
    L. Kumar, S. Mishra, S.K. Rath, An empirical analysis of the effectiveness of software matrices and fault prediction model for identifying fault classes. Comput. Stand. Interfaces (2014)Google Scholar
  10. 10.
    D. Romano, M. Pinzger, Analyzing the evolution of web services using fine grained changes, in 2012 IEEE 19th international conference on web services (2012)Google Scholar
  11. 11.
    L. Kumar, S.K. Sripada, A. Sureka, S.K Rath, Effective fault prediction model developed using least square support vector machine (LSSVM). J. Syst. Softw. (2018)Google Scholar
  12. 12.
    D. Rohatgi, G. Dwivedi, Chapter 5 web services regression testing through automated approach (Springer Nature, 2019)Google Scholar
  13. 13.
    A. Marback, H. Do, N. Ehresmann, An effective regression testing approach for php web applicationsGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Aishwaryarani Behera
    • 1
    Email author
  • Shrayas Das
    • 2
  • Abhishek Ray
    • 3
  1. 1.Department of Computer Science and Technology, Bhubaneswar College of EngineeringBhubaneswarIndia
  2. 2.Software ProfessionalBhubaneswarIndia
  3. 3.Department of Computer Science and Technology, Kalings Institute of Industrial TechnologyBhubaneswarIndia

Personalised recommendations