Resource Allocation Modeling Framework to Refactor Software Design Smells

Abstract

The domain to study design flaws in the software environment has created enough opportunity for the researchers. These design flaws i.e., code smells, were seen hindering the quality aspects of the software in many ways. Once detected, the segment of the software which was found to be infected with such a flaw has to be passed through some refactoring steps in order to remove it. To know about their working phenomenon in a better way, authors have innovatively talked about the smell detection mechanism using the NHPP modeling framework. Further the authors have also chosen to investigate about the amount of resources/efforts which should be allotted to various code smell categories. The authors have developed an optimization problem for the said purpose which is being validated on the real-life smell data set belonging to an open-source software system. The obtained results are in acceptable range and are justifying the applicability of the model.

Software Reliability Growth Modelling Framework to Study SDN Controllers

“…Kaur et al, have claimed the usage of convolution theory to demonstrate the presence of users and testers in the debugging process and further talked about the influence of infected patch in the software system [31]. Further, a newer dimension to study design related flaws occurring in the software environment has been discussed by few researchers [32,33]. Moreover, much importance has been given to the issue of obtaining the optimal testing stop time in the software system [34].…”