Abstract—Software is everywhere and has become a major worldwide industry. We find software embedded, for example, in watches, coffee makers, cars, televisions, airplanes, telephones, reservation systems, and medical equipment. Software not only pervades a multitude of products, but also is an important corporate asset, and demand is increasing. With dynamic markets and evolving business models, organizations need to stay agile to maintain and improve their competitive edge. First release of software products includes enough features and functionality to make it useful for the customers. Later, software companies have to come up with up-gradation or add-ons in their software to survive in the market through a series of releases. They plan successive releases by adding new features or new functionalities or try to improve performance of system as compared to previous releases by removing faults from existing software. Removing maximum faults from existing release and delivering reliable software is most important. In this paper we have used different fault removal process based on generalized Erlang model for different releases. The model is validated on real software data set.
Index Terms—Software reliability growth model, distribution function, multi release
Ompal Singh and Jyotish N. P. Singh are with the Department of Operational Research, University of Delhi, Delhi, India (e-mail: drompalsingh@live.com, jyotishdu@gmail.com).
Anshul Tickoo is with the ASE, Amity University, Noida, Uttar Pradesh, India (e-mail: anshultickoo@hotmail.com).
P. K. Kapur is with the Amity International Business School, Amity University, Noida, India (e-mail: pkkapur1@gmail.com).
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Cite:Ompal Singh, Jyotish N. P. Singh, Anshul Tickoo, and P. K. Kapur, "Fault Removal Phenomenon Using Different Distribution Functions for Each Release," International Journal of Modeling and Optimization vol. 4, no. 1, pp. 5-9, 2014.
