Study of bug prediction modeling using various entropy measures- a theoretical approach

Information theory concept was created by Claude Shannon in 1948. Entropy i.e. uncertainty measure informs how much information is there in an event. The more uncertain the event the more information it gives. In order to resolve this uncertainty, software testing is done and by running it, knowledge of a software system is gained. In this paper, a benchmark for modeling of bug prediction using different measures of entropy mainly Shannon, Renyi and Tsallis entropy have been presented. Information theory is also needed to enable the communication system to carry information from sender to receiver over a communication channel.