Open Access Open Access  Restricted Access Subscription Access

Exploring Computing Environment Possibilities for Risk Oriented Testing


Affiliations
1 Central University of Haryana , Mahendergarh, Haryana,123029, India
2 Deenbandhu Chhoturam University of Science and Technology, Murthal, Haryana, 131039, India
 

The present research effort analyses various application areas of risk oriented testing and indentifies the gaps from the past .We need risk oriented testing not only for identifying risks in the projects but also for the maximum optimization of resources .Our research stresses on risk oriented testing in pervasive and evolutionary computational areas as due to dynamicity of such computing environment ,the project imbibes risk in great measure and needs to be taken care in early stages of the project . Risk oriented testing requires concentration in both of these application areas as extremely little work has been done in this regard.

Keywords

Risk, Risk Based Testing, Software Testing Life Cycle, Pervasive Computing, Evolutionary Computing.
User
Notifications
Font Size

  • L. Rosenberg, R. Stapko, A. Gallo, “Risk-based object oriented Testing”, Proceeding of the 24th Annual Software Engineering Workshop, NASA, Software Engineering Laboratory, pp.1–6, 1999.
  • P. Zech, “Risk-based security testing in cloud computing environments, Proceeding of the Fourth International Conference on Software Testing, Verification and Validation (ICST’11), IEEE, New York, pp.411–414, 2011.
  • J. Sauve, “Risk based Service Testing, Several approaches to the application of risk to IT Service Management”, IEEE Xplore , pp.106-109, 2008.
  • X. Bai, R.S Kenett, W. Yu, “Risk assessment and adaptive group testing of semantic web services”, Int. J. Softw. Eng. Knowl. Eng. vol.22(5), pp.595–620, 2012.
  • R. Casado, J. Tuya, M. Younas, “Testing long-lived web services transactions using a risk-based approach” , Proceeding of the 10th International Conference on Quality Software (QSIC’10), pp. 337–340.IEEE, New York, 2010
  • R Boumen, “Risk-Based Stopping Criteria for Test Sequencing, IEEE Transactions on Systems, Man and Cybernetics”, Part A : Systems and Humans, Vol.38, pp.1363-1373 , 2008
  • T. Bagchi , “Models for software defects and testing strategies”, SIGSOFT engineering notes, vol.34, pp.1-4, 2009.
  • H. Srikanth, “Requirements based test prioritization using risk factors: An industrial study, Information and Software Technology”, vol.69, pp.71–83, 2016.
  • K K. Murthy, K. RThakkar., S. Laxminarayan, “Leveraging risk based testing in enterprise systems security validation”, Proceeding of the First International Conference on Emerging Network Intelligence (EMERGING’09), IEEE,New York, pp.111–116, 2009.
  • M. Felderer, “Risk orientation in software testing processes of small and medium enterprises: an exploratory and comparative study, International Journal of Software Quality J, vol.24, pp.519–548 ,2016.
  • M. Felderer, R. Ramler, “Integrating risk-based testing in industrial test processes”, Springer Science+ Business Media, Software Qual J, pp.22, 543–575, 2014.
  • M. Felderer, “A multiple case study on risk based testing in industry”, International Journal of software tools technology transfer, vol.16, pp.609-625, 2016.
  • I. Yahav , “Risk Based Testing of Open Source Software”, IEEE 38th Annual International Computers, Software and Applications Conference Workshops, pp.638-643, 2014.
  • T. Noor, “Test Case Analytics: Mining Test Case Traces to Improve Risk-Driven Testing”, International Journal on Software Quality Assurance , IEEE Transactions, Vol.9(3), pp.119- 127, 2015.
  • J. Kloos, “ Risk based testing of safety critical embedded systems driven by fault tree analysis”, IEEE, 2011.
  • T. Hussain, “Automated fault tree generation and risk based testing of networked automation systems”, IEEE, 2010.
  • J. Neubauer, “Risk based testing via active continuous quality control”, International journal of software tools technology transfer, Springer, 2014.
  • H. Foidl , “Integrating software quality models into risk-based testing”, Software Qual J, Springerlink.com, 2016.
  • ISTQB: Standard glossary of terms used in software testing. version 2.2. Tech. rep., ISTQB, 2012.
  • M. Satyanarayanan, “Pervasive Computing: Vision and Challenges”, IEEE Personal Communications, 2001.
  • L.Bhaskar, “Pervasive Computing issues, applications and challenges”, International Journal of Engineering and computer science , 2013.

Abstract Views: 280

PDF Views: 0




  • Exploring Computing Environment Possibilities for Risk Oriented Testing

Abstract Views: 280  |  PDF Views: 0

Authors

Vinita Malik
Central University of Haryana , Mahendergarh, Haryana,123029, India
Sukhdip Singh
Deenbandhu Chhoturam University of Science and Technology, Murthal, Haryana, 131039, India

Abstract


The present research effort analyses various application areas of risk oriented testing and indentifies the gaps from the past .We need risk oriented testing not only for identifying risks in the projects but also for the maximum optimization of resources .Our research stresses on risk oriented testing in pervasive and evolutionary computational areas as due to dynamicity of such computing environment ,the project imbibes risk in great measure and needs to be taken care in early stages of the project . Risk oriented testing requires concentration in both of these application areas as extremely little work has been done in this regard.

Keywords


Risk, Risk Based Testing, Software Testing Life Cycle, Pervasive Computing, Evolutionary Computing.

References





DOI: https://doi.org/10.13005/ojcst%2F10.03.18