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Home»Articles»An Efficient Predictive Paradigm for Software Reliability

An Efficient Predictive Paradigm for Software Reliability

Author : Srivyshnavi Pagadala, Sony Bathala and B. Uma
Volume 8 No.3 Special Issue:June 2019 pp 114-116

Abstract

Software Estimation gives solution for complex problems in the software industry which gives estimates for cost and schedule. Software Estimation provides a comprehensive set of tips and heuristics that Software Developers, Technical Leads, and Project Managers can apply to create more accurate estimates. It presents key estimation strategies and addresses particular estimation challenges. In the planning of a software development project, a major challenge faced by project managers is to predict the defects and effort. The Software defect plays critical role in software product development. The estimation of defects can be determined in the product development using many advanced statistical modelling techniques based on the empirical data obtained by the testing phases. The proposed estimation technique in this paper is a model which was developed using Rayleigh function for estimating effect of defects in Software Project Management. The present study offers to decide how many defects creep in to production and determine the effort spent in months. The estimation model was used on Software Testing Life Cycle (STLC) to complete product. The accuracy of the model explains the variation in spent efforts in months associated with number of defects. The model helps the senior management in estimating the defects, schedule, cost and effort.

Keywords

Defect Prediction, Rayleigh Function, STLC

Full Text:

References

[1] Stephen H. Kan, Metrics and Models in Software Quality Engineering, 1st Edition, Pearson, 2003.
[2] Ana Maria Vladu, “Software Reliability Prediction Model using Rayleigh Function”, UPB Sci. Bull., Series C, Vol. 73, No.4, 2011.
[3] K. Naik, and P. Tripathy, Software Testing and Quality Assurance. Theory and Practice, John Wiley and Sons Inc., New Jersey, pp. 471-479, 2008.
[4] E. Georgiadou, “Software Process and Product Improvement: A historical Perspective”, International Journal of Cybernetics, No.1, pp. 172 – 197, 2003.
[5] Graham Clark, William H. Sanders, “Implementing a Stochastic Process Algebra within the Möbius Modeling Framework”, Proceedings of the Joint International Workshop on Process Algebra and Probabilistic Methods, Performance Modelling and Verification, pp. 200-216, September 12-14, 2001.
[6] Marta Z. Kwiatkowska, Gethin Norman, and David Parker, “Probabilistic Symbolic Model Checking with PRISM: A Hybrid Approach”, Proceedings of the 8th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, pp.52-66, April 08-12, 2002.
[7] S. Jasmine, R. Vasantha, “DRE- a quality metric for Component based Software Products”, Proceeding of world Academy of Science, Engineering and Technology, Vol. 23, 2007.
[8] Lionel C. Briand, Khaled El Emam, Bernd G. Freimut,Oliver Laitenberger, “A Comprehensive Evaluation Of Capture-Recapture Models For Estimating Software Defect Content”, IEEE Transactions On Software Engineering, Vol. 26, No. 6, June 2000.
[9] R. Abreu, P. Zoeteweij, R. Golsteijn, A.J. Van Gemund, “A practical evaluation of spectrum-based fault localization”, J. Syst. Softw.,Vol. 82, No. 11, pp. 1780-1792, November 2009.
[10] Sandeep Kumar Nayak, Raees Ahmad Khan and Md. Rizwan Beg., “Requirement Defect identification An Early Stage Perspective”, IJCSI International Journal of Computer Science Issues, Vol. 9, No. 1, Sept. 2012.
[11] Sakthi Kumaresh and R. Baskaran., “Defect analysis and prevention for software process quality improvement”, International Journal of Computer Application, Vol. 8, No. 7, Oct 2010.
[12] D. Abramson, I. Foster, J. Michalakes, and R. Sosic, “Relative debugging and its application to the development of large numerical models”, 8th Int. Conf. High Perform. Comput. Netw. Storage Anal., Vol. 51, December 1995.

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Software Estimation gives solution for complex problems in the software industry which gives estimates for cost and schedule. Software Estimation provides a comprehensive set of tips and heuristics that Software Developers, Technical Leads, and Project Managers can apply to create more accurate estimates. It presents key estimation strategies and addresses particular estimation challenges. In the planning of a software development project, a major challenge faced by project managers is to predict the defects and effort. The Software defect plays critical role in software product development. The estimation of defects can be determined in the product development using many advanced statistical modelling techniques based on the empirical data obtained by the testing phases. The proposed estimation technique in this paper is a model which was developed using Rayleigh function for estimating effect of defects in Software Project Management. The present study offers to decide how many defects creep in to production and determine the effort spent in months. The estimation model was used on Software Testing Life Cycle (STLC) to complete product. The accuracy of the model explains the variation in spent efforts in months associated with number of defects. The model helps the senior management in estimating the defects, schedule, cost and effort.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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